Overview

Dataset statistics

Number of variables87
Number of observations20000
Missing cells573470
Missing cells (%)33.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.3 MiB
Average record size in memory696.0 B

Variable types

Numeric78
Categorical9

Alerts

HR-mean is highly correlated with HR-medianHigh correlation
HR-median is highly correlated with HR-meanHigh correlation
O2Sat-mean is highly correlated with O2Sat-medianHigh correlation
O2Sat-median is highly correlated with O2Sat-meanHigh correlation
Temp-mean is highly correlated with Temp-medianHigh correlation
Temp-median is highly correlated with Temp-meanHigh correlation
SBP-mean is highly correlated with SBP-median and 3 other fieldsHigh correlation
SBP-median is highly correlated with SBP-mean and 2 other fieldsHigh correlation
MAP-mean is highly correlated with SBP-mean and 4 other fieldsHigh correlation
MAP-median is highly correlated with SBP-mean and 4 other fieldsHigh correlation
DBP-mean is highly correlated with SBP-mean and 3 other fieldsHigh correlation
DBP-median is highly correlated with MAP-mean and 2 other fieldsHigh correlation
Resp-mean is highly correlated with Resp-medianHigh correlation
Resp-median is highly correlated with Resp-meanHigh correlation
EtCO2-mean is highly correlated with EtCO2-medianHigh correlation
EtCO2-median is highly correlated with EtCO2-meanHigh correlation
BaseExcess-mean is highly correlated with BaseExcess-median and 4 other fieldsHigh correlation
BaseExcess-median is highly correlated with BaseExcess-mean and 4 other fieldsHigh correlation
HCO3-mean is highly correlated with BaseExcess-mean and 2 other fieldsHigh correlation
HCO3-median is highly correlated with BaseExcess-mean and 2 other fieldsHigh correlation
FiO2-mean is highly correlated with FiO2-medianHigh correlation
FiO2-median is highly correlated with FiO2-meanHigh correlation
pH-mean is highly correlated with BaseExcess-mean and 2 other fieldsHigh correlation
pH-median is highly correlated with BaseExcess-mean and 2 other fieldsHigh correlation
PaCO2-mean is highly correlated with PaCO2-medianHigh correlation
PaCO2-median is highly correlated with PaCO2-meanHigh correlation
SaO2-mean is highly correlated with SaO2-medianHigh correlation
SaO2-median is highly correlated with SaO2-meanHigh correlation
AST-mean is highly correlated with AST-medianHigh correlation
AST-median is highly correlated with AST-meanHigh correlation
BUN-mean is highly correlated with BUN-median and 2 other fieldsHigh correlation
BUN-median is highly correlated with BUN-mean and 2 other fieldsHigh correlation
Alkalinephos-mean is highly correlated with Alkalinephos-medianHigh correlation
Alkalinephos-median is highly correlated with Alkalinephos-meanHigh correlation
Calcium-mean is highly correlated with Calcium-medianHigh correlation
Calcium-median is highly correlated with Calcium-meanHigh correlation
Chloride-mean is highly correlated with Chloride-medianHigh correlation
Chloride-median is highly correlated with Chloride-meanHigh correlation
Creatinine-mean is highly correlated with BUN-mean and 2 other fieldsHigh correlation
Creatinine-median is highly correlated with BUN-mean and 2 other fieldsHigh correlation
Bilirubin_direct-mean is highly correlated with Bilirubin_direct-median and 2 other fieldsHigh correlation
Bilirubin_direct-median is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
Glucose-mean is highly correlated with Glucose-medianHigh correlation
Glucose-median is highly correlated with Glucose-meanHigh correlation
Lactate-mean is highly correlated with Lactate-medianHigh correlation
Lactate-median is highly correlated with Lactate-meanHigh correlation
Magnesium-mean is highly correlated with Magnesium-medianHigh correlation
Magnesium-median is highly correlated with Magnesium-meanHigh correlation
Phosphate-mean is highly correlated with Phosphate-medianHigh correlation
Phosphate-median is highly correlated with Phosphate-meanHigh correlation
Potassium-mean is highly correlated with Potassium-medianHigh correlation
Potassium-median is highly correlated with Potassium-meanHigh correlation
Bilirubin_total-mean is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
Bilirubin_total-median is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
TroponinI-mean is highly correlated with TroponinI-medianHigh correlation
TroponinI-median is highly correlated with TroponinI-meanHigh correlation
Hct-mean is highly correlated with Hct-median and 2 other fieldsHigh correlation
Hct-median is highly correlated with Hct-mean and 2 other fieldsHigh correlation
Hgb-mean is highly correlated with Hct-mean and 2 other fieldsHigh correlation
Hgb-median is highly correlated with Hct-mean and 2 other fieldsHigh correlation
PTT-mean is highly correlated with PTT-medianHigh correlation
PTT-median is highly correlated with PTT-meanHigh correlation
WBC-mean is highly correlated with WBC-medianHigh correlation
WBC-median is highly correlated with WBC-meanHigh correlation
Fibrinogen-mean is highly correlated with Fibrinogen-medianHigh correlation
Fibrinogen-median is highly correlated with Fibrinogen-meanHigh correlation
Platelets-mean is highly correlated with Platelets-medianHigh correlation
Platelets-median is highly correlated with Platelets-meanHigh correlation
Age-mean is highly correlated with Age-medianHigh correlation
Age-median is highly correlated with Age-meanHigh correlation
Gender-mean is highly correlated with Gender-medianHigh correlation
Gender-median is highly correlated with Gender-meanHigh correlation
Unit1-mean is highly correlated with Unit1-median and 2 other fieldsHigh correlation
Unit1-median is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
Unit2-mean is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
Unit2-median is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
HospAdmTime-mean is highly correlated with HospAdmTime-medianHigh correlation
HospAdmTime-median is highly correlated with HospAdmTime-meanHigh correlation
ICULOS-mean is highly correlated with ICULOS-median and 2 other fieldsHigh correlation
ICULOS-median is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
SepsisLabel-mean is highly correlated with SepsisLabel-median and 2 other fieldsHigh correlation
SepsisLabel-median is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Sepsis-mean is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Sepsis-median is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Hours-mean is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
Hours-median is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
HR-mean is highly correlated with HR-medianHigh correlation
HR-median is highly correlated with HR-meanHigh correlation
O2Sat-mean is highly correlated with O2Sat-medianHigh correlation
O2Sat-median is highly correlated with O2Sat-meanHigh correlation
Temp-mean is highly correlated with Temp-medianHigh correlation
Temp-median is highly correlated with Temp-meanHigh correlation
SBP-mean is highly correlated with SBP-median and 4 other fieldsHigh correlation
SBP-median is highly correlated with SBP-mean and 4 other fieldsHigh correlation
MAP-mean is highly correlated with SBP-mean and 4 other fieldsHigh correlation
MAP-median is highly correlated with SBP-mean and 4 other fieldsHigh correlation
DBP-mean is highly correlated with SBP-mean and 4 other fieldsHigh correlation
DBP-median is highly correlated with SBP-mean and 4 other fieldsHigh correlation
Resp-mean is highly correlated with Resp-medianHigh correlation
Resp-median is highly correlated with Resp-meanHigh correlation
EtCO2-mean is highly correlated with EtCO2-medianHigh correlation
EtCO2-median is highly correlated with EtCO2-meanHigh correlation
BaseExcess-mean is highly correlated with BaseExcess-median and 4 other fieldsHigh correlation
BaseExcess-median is highly correlated with BaseExcess-mean and 4 other fieldsHigh correlation
HCO3-mean is highly correlated with BaseExcess-mean and 3 other fieldsHigh correlation
HCO3-median is highly correlated with BaseExcess-mean and 2 other fieldsHigh correlation
pH-mean is highly correlated with BaseExcess-mean and 2 other fieldsHigh correlation
pH-median is highly correlated with BaseExcess-mean and 2 other fieldsHigh correlation
PaCO2-mean is highly correlated with PaCO2-medianHigh correlation
PaCO2-median is highly correlated with PaCO2-meanHigh correlation
SaO2-mean is highly correlated with SaO2-medianHigh correlation
SaO2-median is highly correlated with SaO2-meanHigh correlation
AST-mean is highly correlated with AST-medianHigh correlation
AST-median is highly correlated with AST-meanHigh correlation
BUN-mean is highly correlated with BUN-median and 4 other fieldsHigh correlation
BUN-median is highly correlated with BUN-mean and 4 other fieldsHigh correlation
Alkalinephos-mean is highly correlated with Alkalinephos-medianHigh correlation
Alkalinephos-median is highly correlated with Alkalinephos-meanHigh correlation
Calcium-mean is highly correlated with Calcium-medianHigh correlation
Calcium-median is highly correlated with Calcium-meanHigh correlation
Chloride-mean is highly correlated with Chloride-medianHigh correlation
Chloride-median is highly correlated with Chloride-meanHigh correlation
Creatinine-mean is highly correlated with BUN-mean and 4 other fieldsHigh correlation
Creatinine-median is highly correlated with BUN-mean and 4 other fieldsHigh correlation
Bilirubin_direct-mean is highly correlated with Bilirubin_direct-median and 2 other fieldsHigh correlation
Bilirubin_direct-median is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
Glucose-mean is highly correlated with Glucose-medianHigh correlation
Glucose-median is highly correlated with Glucose-meanHigh correlation
Lactate-mean is highly correlated with Lactate-medianHigh correlation
Lactate-median is highly correlated with HCO3-mean and 1 other fieldsHigh correlation
Magnesium-mean is highly correlated with Magnesium-medianHigh correlation
Magnesium-median is highly correlated with Magnesium-meanHigh correlation
Phosphate-mean is highly correlated with BUN-mean and 4 other fieldsHigh correlation
Phosphate-median is highly correlated with BUN-mean and 4 other fieldsHigh correlation
Potassium-mean is highly correlated with Potassium-medianHigh correlation
Potassium-median is highly correlated with Potassium-meanHigh correlation
Bilirubin_total-mean is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
Bilirubin_total-median is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
TroponinI-mean is highly correlated with TroponinI-medianHigh correlation
TroponinI-median is highly correlated with TroponinI-meanHigh correlation
Hct-mean is highly correlated with Hct-median and 2 other fieldsHigh correlation
Hct-median is highly correlated with Hct-mean and 2 other fieldsHigh correlation
Hgb-mean is highly correlated with Hct-mean and 2 other fieldsHigh correlation
Hgb-median is highly correlated with Hct-mean and 2 other fieldsHigh correlation
PTT-mean is highly correlated with PTT-medianHigh correlation
PTT-median is highly correlated with PTT-meanHigh correlation
WBC-mean is highly correlated with WBC-medianHigh correlation
WBC-median is highly correlated with WBC-meanHigh correlation
Fibrinogen-mean is highly correlated with Fibrinogen-medianHigh correlation
Fibrinogen-median is highly correlated with Fibrinogen-meanHigh correlation
Platelets-mean is highly correlated with Platelets-medianHigh correlation
Platelets-median is highly correlated with Platelets-meanHigh correlation
Age-mean is highly correlated with Age-medianHigh correlation
Age-median is highly correlated with Age-meanHigh correlation
Gender-mean is highly correlated with Gender-medianHigh correlation
Gender-median is highly correlated with Gender-meanHigh correlation
Unit1-mean is highly correlated with Unit1-median and 2 other fieldsHigh correlation
Unit1-median is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
Unit2-mean is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
Unit2-median is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
HospAdmTime-mean is highly correlated with HospAdmTime-medianHigh correlation
HospAdmTime-median is highly correlated with HospAdmTime-meanHigh correlation
ICULOS-mean is highly correlated with ICULOS-median and 2 other fieldsHigh correlation
ICULOS-median is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
SepsisLabel-mean is highly correlated with SepsisLabel-median and 2 other fieldsHigh correlation
SepsisLabel-median is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Sepsis-mean is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Sepsis-median is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Hours-mean is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
Hours-median is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
HR-mean is highly correlated with HR-medianHigh correlation
HR-median is highly correlated with HR-meanHigh correlation
O2Sat-mean is highly correlated with O2Sat-medianHigh correlation
O2Sat-median is highly correlated with O2Sat-meanHigh correlation
Temp-mean is highly correlated with Temp-medianHigh correlation
Temp-median is highly correlated with Temp-meanHigh correlation
SBP-mean is highly correlated with SBP-median and 2 other fieldsHigh correlation
SBP-median is highly correlated with SBP-mean and 2 other fieldsHigh correlation
MAP-mean is highly correlated with SBP-mean and 4 other fieldsHigh correlation
MAP-median is highly correlated with SBP-mean and 4 other fieldsHigh correlation
DBP-mean is highly correlated with MAP-mean and 2 other fieldsHigh correlation
DBP-median is highly correlated with MAP-mean and 2 other fieldsHigh correlation
Resp-mean is highly correlated with Resp-medianHigh correlation
Resp-median is highly correlated with Resp-meanHigh correlation
EtCO2-mean is highly correlated with EtCO2-medianHigh correlation
EtCO2-median is highly correlated with EtCO2-meanHigh correlation
BaseExcess-mean is highly correlated with BaseExcess-median and 2 other fieldsHigh correlation
BaseExcess-median is highly correlated with BaseExcess-mean and 2 other fieldsHigh correlation
HCO3-mean is highly correlated with BaseExcess-mean and 2 other fieldsHigh correlation
HCO3-median is highly correlated with BaseExcess-mean and 2 other fieldsHigh correlation
FiO2-mean is highly correlated with FiO2-medianHigh correlation
FiO2-median is highly correlated with FiO2-meanHigh correlation
pH-mean is highly correlated with pH-medianHigh correlation
pH-median is highly correlated with pH-meanHigh correlation
PaCO2-mean is highly correlated with PaCO2-medianHigh correlation
PaCO2-median is highly correlated with PaCO2-meanHigh correlation
SaO2-mean is highly correlated with SaO2-medianHigh correlation
SaO2-median is highly correlated with SaO2-meanHigh correlation
AST-mean is highly correlated with AST-medianHigh correlation
AST-median is highly correlated with AST-meanHigh correlation
BUN-mean is highly correlated with BUN-median and 2 other fieldsHigh correlation
BUN-median is highly correlated with BUN-mean and 2 other fieldsHigh correlation
Alkalinephos-mean is highly correlated with Alkalinephos-medianHigh correlation
Alkalinephos-median is highly correlated with Alkalinephos-meanHigh correlation
Calcium-mean is highly correlated with Calcium-medianHigh correlation
Calcium-median is highly correlated with Calcium-meanHigh correlation
Chloride-mean is highly correlated with Chloride-medianHigh correlation
Chloride-median is highly correlated with Chloride-meanHigh correlation
Creatinine-mean is highly correlated with BUN-mean and 2 other fieldsHigh correlation
Creatinine-median is highly correlated with BUN-mean and 2 other fieldsHigh correlation
Bilirubin_direct-mean is highly correlated with Bilirubin_direct-median and 2 other fieldsHigh correlation
Bilirubin_direct-median is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
Glucose-mean is highly correlated with Glucose-medianHigh correlation
Glucose-median is highly correlated with Glucose-meanHigh correlation
Lactate-mean is highly correlated with Lactate-medianHigh correlation
Lactate-median is highly correlated with Lactate-meanHigh correlation
Magnesium-mean is highly correlated with Magnesium-medianHigh correlation
Magnesium-median is highly correlated with Magnesium-meanHigh correlation
Phosphate-mean is highly correlated with Phosphate-medianHigh correlation
Phosphate-median is highly correlated with Phosphate-meanHigh correlation
Potassium-mean is highly correlated with Potassium-medianHigh correlation
Potassium-median is highly correlated with Potassium-meanHigh correlation
Bilirubin_total-mean is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
Bilirubin_total-median is highly correlated with Bilirubin_direct-mean and 2 other fieldsHigh correlation
TroponinI-mean is highly correlated with TroponinI-medianHigh correlation
TroponinI-median is highly correlated with TroponinI-meanHigh correlation
Hct-mean is highly correlated with Hct-median and 2 other fieldsHigh correlation
Hct-median is highly correlated with Hct-mean and 2 other fieldsHigh correlation
Hgb-mean is highly correlated with Hct-mean and 2 other fieldsHigh correlation
Hgb-median is highly correlated with Hct-mean and 2 other fieldsHigh correlation
PTT-mean is highly correlated with PTT-medianHigh correlation
PTT-median is highly correlated with PTT-meanHigh correlation
WBC-mean is highly correlated with WBC-medianHigh correlation
WBC-median is highly correlated with WBC-meanHigh correlation
Fibrinogen-mean is highly correlated with Fibrinogen-medianHigh correlation
Fibrinogen-median is highly correlated with Fibrinogen-meanHigh correlation
Platelets-mean is highly correlated with Platelets-medianHigh correlation
Platelets-median is highly correlated with Platelets-meanHigh correlation
Age-mean is highly correlated with Age-medianHigh correlation
Age-median is highly correlated with Age-meanHigh correlation
Gender-mean is highly correlated with Gender-medianHigh correlation
Gender-median is highly correlated with Gender-meanHigh correlation
Unit1-mean is highly correlated with Unit1-median and 2 other fieldsHigh correlation
Unit1-median is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
Unit2-mean is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
Unit2-median is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
HospAdmTime-mean is highly correlated with HospAdmTime-medianHigh correlation
HospAdmTime-median is highly correlated with HospAdmTime-meanHigh correlation
ICULOS-mean is highly correlated with ICULOS-median and 2 other fieldsHigh correlation
ICULOS-median is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
SepsisLabel-mean is highly correlated with SepsisLabel-median and 2 other fieldsHigh correlation
SepsisLabel-median is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Sepsis-mean is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Sepsis-median is highly correlated with SepsisLabel-mean and 2 other fieldsHigh correlation
Hours-mean is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
Hours-median is highly correlated with ICULOS-mean and 2 other fieldsHigh correlation
Unit1-mean is highly correlated with Unit1-median and 2 other fieldsHigh correlation
Unit1-median is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
Sepsis-mean is highly correlated with SepsisLabel-median and 1 other fieldsHigh correlation
Unit2-median is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
SepsisLabel-median is highly correlated with Sepsis-mean and 1 other fieldsHigh correlation
Gender-mean is highly correlated with Gender-medianHigh correlation
Gender-median is highly correlated with Gender-meanHigh correlation
Sepsis-median is highly correlated with Sepsis-mean and 1 other fieldsHigh correlation
Unit2-mean is highly correlated with Unit1-mean and 2 other fieldsHigh correlation
EtCO2-mean has 16784 (83.9%) missing values Missing
EtCO2-median has 16784 (83.9%) missing values Missing
BaseExcess-mean has 19442 (97.2%) missing values Missing
BaseExcess-median has 19442 (97.2%) missing values Missing
HCO3-mean has 19584 (97.9%) missing values Missing
HCO3-median has 19584 (97.9%) missing values Missing
FiO2-mean has 14178 (70.9%) missing values Missing
FiO2-median has 14178 (70.9%) missing values Missing
pH-mean has 14246 (71.2%) missing values Missing
pH-median has 14246 (71.2%) missing values Missing
PaCO2-mean has 14221 (71.1%) missing values Missing
PaCO2-median has 14221 (71.1%) missing values Missing
SaO2-mean has 14875 (74.4%) missing values Missing
SaO2-median has 14875 (74.4%) missing values Missing
AST-mean has 11536 (57.7%) missing values Missing
AST-median has 11536 (57.7%) missing values Missing
BUN-mean has 1591 (8.0%) missing values Missing
BUN-median has 1591 (8.0%) missing values Missing
Alkalinephos-mean has 11530 (57.6%) missing values Missing
Alkalinephos-median has 11530 (57.6%) missing values Missing
Calcium-mean has 1550 (7.8%) missing values Missing
Calcium-median has 1550 (7.8%) missing values Missing
Chloride-mean has 18383 (91.9%) missing values Missing
Chloride-median has 18383 (91.9%) missing values Missing
Creatinine-mean has 1588 (7.9%) missing values Missing
Creatinine-median has 1588 (7.9%) missing values Missing
Bilirubin_direct-mean has 18529 (92.6%) missing values Missing
Bilirubin_direct-median has 18529 (92.6%) missing values Missing
Glucose-mean has 1173 (5.9%) missing values Missing
Glucose-median has 1173 (5.9%) missing values Missing
Lactate-mean has 15240 (76.2%) missing values Missing
Lactate-median has 15240 (76.2%) missing values Missing
Magnesium-mean has 3543 (17.7%) missing values Missing
Magnesium-median has 3543 (17.7%) missing values Missing
Phosphate-mean has 8365 (41.8%) missing values Missing
Phosphate-median has 8365 (41.8%) missing values Missing
Potassium-mean has 1434 (7.2%) missing values Missing
Potassium-median has 1434 (7.2%) missing values Missing
Bilirubin_total-mean has 11522 (57.6%) missing values Missing
Bilirubin_total-median has 11522 (57.6%) missing values Missing
TroponinI-mean has 13436 (67.2%) missing values Missing
TroponinI-median has 13436 (67.2%) missing values Missing
Hct-mean has 1953 (9.8%) missing values Missing
Hct-median has 1953 (9.8%) missing values Missing
Hgb-mean has 1941 (9.7%) missing values Missing
Hgb-median has 1941 (9.7%) missing values Missing
PTT-mean has 15602 (78.0%) missing values Missing
PTT-median has 15602 (78.0%) missing values Missing
WBC-mean has 2000 (10.0%) missing values Missing
WBC-median has 2000 (10.0%) missing values Missing
Fibrinogen-mean has 18052 (90.3%) missing values Missing
Fibrinogen-median has 18052 (90.3%) missing values Missing
Platelets-mean has 1992 (10.0%) missing values Missing
Platelets-median has 1992 (10.0%) missing values Missing
Unit1-mean has 6095 (30.5%) missing values Missing
Unit1-median has 6095 (30.5%) missing values Missing
Unit2-mean has 6095 (30.5%) missing values Missing
Unit2-median has 6095 (30.5%) missing values Missing
FiO2-mean is highly skewed (γ1 = 76.23783285) Skewed
PatientID is uniformly distributed Uniform
PatientID has unique values Unique
HospAdmTime-mean has 1145 (5.7%) zeros Zeros
HospAdmTime-median has 1145 (5.7%) zeros Zeros
SepsisLabel-mean has 18858 (94.3%) zeros Zeros

Reproduction

Analysis started2021-11-29 10:31:33.507314
Analysis finished2021-11-29 10:31:49.838588
Duration16.33 seconds
Software versionpandas-profiling v3.1.1
Download configurationconfig.json

Variables

PatientID
Real number (ℝ≥0)

UNIFORM
UNIQUE

Distinct20000
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110000.5
Minimum100001
Maximum120000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:49.886817image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum100001
5-th percentile101000.95
Q1105000.75
median110000.5
Q3115000.25
95-th percentile119000.05
Maximum120000
Range19999
Interquartile range (IQR)9999.5

Descriptive statistics

Standard deviation5773.647028
Coefficient of variation (CV)0.05248746167
Kurtosis-1.2
Mean110000.5
Median Absolute Deviation (MAD)5000
Skewness0
Sum2200010000
Variance33335000
MonotonicityStrictly increasing
2021-11-29T11:31:49.994277image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1000011
 
< 0.1%
1133311
 
< 0.1%
1133381
 
< 0.1%
1133371
 
< 0.1%
1133361
 
< 0.1%
1133351
 
< 0.1%
1133341
 
< 0.1%
1133331
 
< 0.1%
1133321
 
< 0.1%
1133301
 
< 0.1%
Other values (19990)19990
> 99.9%
ValueCountFrequency (%)
1000011
< 0.1%
1000021
< 0.1%
1000031
< 0.1%
1000041
< 0.1%
1000051
< 0.1%
1000061
< 0.1%
1000071
< 0.1%
1000081
< 0.1%
1000091
< 0.1%
1000101
< 0.1%
ValueCountFrequency (%)
1200001
< 0.1%
1199991
< 0.1%
1199981
< 0.1%
1199971
< 0.1%
1199961
< 0.1%
1199951
< 0.1%
1199941
< 0.1%
1199931
< 0.1%
1199921
< 0.1%
1199911
< 0.1%

HR-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct15131
Distinct (%)75.7%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean83.04871048
Minimum33.36
Maximum174.6976744
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:50.103682image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum33.36
5-th percentile60.42152123
Q172.19230769
median82.17248284
Q392.6
95-th percentile109.1428571
Maximum174.6976744
Range141.3376744
Interquartile range (IQR)20.40769231

Descriptive statistics

Standard deviation14.99990916
Coefficient of variation (CV)0.1806157985
Kurtosis0.2303158873
Mean83.04871048
Median Absolute Deviation (MAD)10.17248284
Skewness0.3821272666
Sum1660642.015
Variance224.9972747
MonotonicityNot monotonic
2021-11-29T11:31:50.200612image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6828
 
0.1%
72.523
 
0.1%
8023
 
0.1%
8621
 
0.1%
9021
 
0.1%
7020
 
0.1%
7720
 
0.1%
8319
 
0.1%
7619
 
0.1%
8119
 
0.1%
Other values (15121)19783
98.9%
ValueCountFrequency (%)
33.361
< 0.1%
37.285714291
< 0.1%
37.960526321
< 0.1%
38.783783781
< 0.1%
38.9843751
< 0.1%
39.867647061
< 0.1%
40.03260871
< 0.1%
40.931818181
< 0.1%
40.93751
< 0.1%
41.28260871
< 0.1%
ValueCountFrequency (%)
174.69767441
< 0.1%
158.21428571
< 0.1%
156.14285711
< 0.1%
1531
< 0.1%
148.51960781
< 0.1%
145.65454551
< 0.1%
145.21
< 0.1%
144.84090911
< 0.1%
143.23333331
< 0.1%
140.73404261
< 0.1%

HR-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct359
Distinct (%)1.8%
Missing4
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean82.45575365
Minimum31
Maximum176
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:50.302006image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum31
5-th percentile59.5
Q171
median81.5
Q392
95-th percentile109.5
Maximum176
Range145
Interquartile range (IQR)21

Descriptive statistics

Standard deviation15.47201459
Coefficient of variation (CV)0.1876402058
Kurtosis0.2671783352
Mean82.45575365
Median Absolute Deviation (MAD)10.5
Skewness0.4075821578
Sum1648785.25
Variance239.3832353
MonotonicityNot monotonic
2021-11-29T11:31:50.397183image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
80606
 
3.0%
90536
 
2.7%
82475
 
2.4%
70454
 
2.3%
78454
 
2.3%
84449
 
2.2%
74423
 
2.1%
76404
 
2.0%
72396
 
2.0%
86395
 
2.0%
Other values (349)15404
77.0%
ValueCountFrequency (%)
311
 
< 0.1%
31.51
 
< 0.1%
331
 
< 0.1%
361
 
< 0.1%
372
< 0.1%
37.751
 
< 0.1%
382
< 0.1%
391
 
< 0.1%
404
< 0.1%
40.51
 
< 0.1%
ValueCountFrequency (%)
1761
 
< 0.1%
1631
 
< 0.1%
156.51
 
< 0.1%
1561
 
< 0.1%
1551
 
< 0.1%
1471
 
< 0.1%
1462
< 0.1%
1433
< 0.1%
142.52
< 0.1%
1422
< 0.1%

O2Sat-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct7737
Distinct (%)38.7%
Missing6
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean97.10576372
Minimum65.5
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:50.503702image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum65.5
5-th percentile94
Q196.01860587
median97.32240143
Q398.47660576
95-th percentile99.65625
Maximum100
Range34.5
Interquartile range (IQR)2.457999889

Descriptive statistics

Standard deviation1.944590634
Coefficient of variation (CV)0.02002549137
Kurtosis22.29509362
Mean97.10576372
Median Absolute Deviation (MAD)1.221587214
Skewness-2.439035024
Sum1941532.64
Variance3.781432733
MonotonicityNot monotonic
2021-11-29T11:31:50.602205image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
100183
 
0.9%
98141
 
0.7%
97131
 
0.7%
97.5118
 
0.6%
98.5113
 
0.6%
99102
 
0.5%
96.592
 
0.5%
9691
 
0.5%
99.568
 
0.3%
98.2563
 
0.3%
Other values (7727)18892
94.5%
ValueCountFrequency (%)
65.51
< 0.1%
66.857142861
< 0.1%
67.725806451
< 0.1%
721
< 0.1%
72.583333331
< 0.1%
73.442857141
< 0.1%
74.333333331
< 0.1%
74.803921571
< 0.1%
75.588235291
< 0.1%
76.321428571
< 0.1%
ValueCountFrequency (%)
100183
0.9%
99.990740741
 
< 0.1%
99.98936171
 
< 0.1%
99.986111111
 
< 0.1%
99.985714291
 
< 0.1%
99.985294121
 
< 0.1%
99.9843751
 
< 0.1%
99.981818181
 
< 0.1%
99.980769231
 
< 0.1%
99.979166671
 
< 0.1%

O2Sat-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct70
Distinct (%)0.4%
Missing6
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean97.41654996
Minimum62.25
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:50.704912image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum62.25
5-th percentile94
Q196
median98
Q399
95-th percentile100
Maximum100
Range37.75
Interquartile range (IQR)3

Descriptive statistics

Standard deviation2.061559043
Coefficient of variation (CV)0.02116230809
Kurtosis17.04957528
Mean97.41654996
Median Absolute Deviation (MAD)1.5
Skewness-1.901720785
Sum1947746.5
Variance4.25002569
MonotonicityNot monotonic
2021-11-29T11:31:50.801926image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1003296
16.5%
983224
16.1%
972808
14.0%
992536
12.7%
962450
12.2%
951451
7.3%
94681
 
3.4%
97.5441
 
2.2%
98.5391
 
2.0%
96.5389
 
1.9%
Other values (60)2327
11.6%
ValueCountFrequency (%)
62.251
< 0.1%
651
< 0.1%
671
< 0.1%
721
< 0.1%
731
< 0.1%
751
< 0.1%
761
< 0.1%
76.751
< 0.1%
772
< 0.1%
782
< 0.1%
ValueCountFrequency (%)
1003296
16.5%
99.7577
 
0.4%
99.5298
 
1.5%
99.2587
 
0.4%
992536
12.7%
98.7592
 
0.5%
98.5391
 
2.0%
98.2589
 
0.4%
983224
16.1%
97.7598
 
0.5%

Temp-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct5252
Distinct (%)26.3%
Missing49
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean36.77130518
Minimum31.44444444
Maximum39.7375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:50.906750image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum31.44444444
5-th percentile36
Q136.44
median36.72567568
Q337.0822479
95-th percentile37.67330317
Maximum39.7375
Range8.293055556
Interquartile range (IQR)0.6422478992

Descriptive statistics

Standard deviation0.5290535673
Coefficient of variation (CV)0.01438767443
Kurtosis3.225961007
Mean36.77130518
Median Absolute Deviation (MAD)0.3187687688
Skewness-0.009018216435
Sum733624.3097
Variance0.2798976771
MonotonicityNot monotonic
2021-11-29T11:31:51.000053image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.5243
 
1.2%
36.6233
 
1.2%
36.4191
 
1.0%
36.7164
 
0.8%
36.9150
 
0.8%
36.8149
 
0.7%
36.3130
 
0.7%
37123
 
0.6%
36116
 
0.6%
36.55113
 
0.6%
Other values (5242)18339
91.7%
ValueCountFrequency (%)
31.444444441
< 0.1%
32.307142861
< 0.1%
32.442857141
< 0.1%
32.81
< 0.1%
32.932352941
< 0.1%
32.951
< 0.1%
33.083333331
< 0.1%
33.105769231
< 0.1%
33.351
< 0.1%
33.398611111
< 0.1%
ValueCountFrequency (%)
39.73751
< 0.1%
39.714516131
< 0.1%
39.6751
< 0.1%
39.507142861
< 0.1%
39.366666671
< 0.1%
39.222916671
< 0.1%
39.160294121
< 0.1%
39.11
< 0.1%
39.051
< 0.1%
38.981
< 0.1%

Temp-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct219
Distinct (%)1.1%
Missing49
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean36.78687033
Minimum31.4
Maximum40.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:51.099549image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum31.4
5-th percentile36
Q136.45
median36.7
Q337.1
95-th percentile37.75
Maximum40.4
Range9
Interquartile range (IQR)0.65

Descriptive statistics

Standard deviation0.5584923396
Coefficient of variation (CV)0.01518183892
Kurtosis3.428382447
Mean36.78687033
Median Absolute Deviation (MAD)0.3
Skewness-0.03114273631
Sum733934.85
Variance0.3119136934
MonotonicityNot monotonic
2021-11-29T11:31:51.193982image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36.61367
 
6.8%
36.51317
 
6.6%
36.81278
 
6.4%
36.71263
 
6.3%
371078
 
5.4%
36.4911
 
4.6%
36.9884
 
4.4%
37.1742
 
3.7%
36.3709
 
3.5%
37.2678
 
3.4%
Other values (209)9724
48.6%
ValueCountFrequency (%)
31.41
 
< 0.1%
32.12
< 0.1%
32.82
< 0.1%
32.952
< 0.1%
332
< 0.1%
33.051
 
< 0.1%
33.11
 
< 0.1%
33.23
< 0.1%
33.252
< 0.1%
33.351
 
< 0.1%
ValueCountFrequency (%)
40.41
 
< 0.1%
40.11
 
< 0.1%
402
< 0.1%
39.51
 
< 0.1%
39.41
 
< 0.1%
39.31
 
< 0.1%
39.251
 
< 0.1%
39.21
 
< 0.1%
39.14
< 0.1%
39.051
 
< 0.1%

SBP-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct15753
Distinct (%)78.9%
Missing24
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean126.4104727
Minimum54.54166667
Maximum203.775
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:51.292396image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum54.54166667
5-th percentile98.52083333
Q1112.8333333
median125
Q3138.7410714
95-th percentile159.1377467
Maximum203.775
Range149.2333333
Interquartile range (IQR)25.9077381

Descriptive statistics

Standard deviation18.61359086
Coefficient of variation (CV)0.1472472215
Kurtosis-0.03379315869
Mean126.4104727
Median Absolute Deviation (MAD)12.78947368
Skewness0.3318814023
Sum2525175.602
Variance346.4657649
MonotonicityNot monotonic
2021-11-29T11:31:51.388566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12821
 
0.1%
11617
 
0.1%
12717
 
0.1%
12217
 
0.1%
12517
 
0.1%
14216
 
0.1%
11016
 
0.1%
116.516
 
0.1%
13316
 
0.1%
12415
 
0.1%
Other values (15743)19808
99.0%
(Missing)24
 
0.1%
ValueCountFrequency (%)
54.541666671
< 0.1%
56.298076921
< 0.1%
57.5751
< 0.1%
60.346153851
< 0.1%
651
< 0.1%
65.1251
< 0.1%
65.270833331
< 0.1%
661
< 0.1%
66.090909091
< 0.1%
68.51
< 0.1%
ValueCountFrequency (%)
203.7751
< 0.1%
200.78301891
< 0.1%
200.15555561
< 0.1%
197.21
< 0.1%
197.14285711
< 0.1%
196.80434781
< 0.1%
194.18627451
< 0.1%
192.751
< 0.1%
192.43965521
< 0.1%
192.18571431
< 0.1%

SBP-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct485
Distinct (%)2.4%
Missing24
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean126.0335653
Minimum51
Maximum207
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:51.492636image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile98
Q1112
median124.5
Q3139
95-th percentile160
Maximum207
Range156
Interquartile range (IQR)27

Descriptive statistics

Standard deviation19.12587448
Coefficient of variation (CV)0.1517522291
Kurtosis-0.0662913949
Mean126.0335653
Median Absolute Deviation (MAD)13.5
Skewness0.3496266683
Sum2517646.5
Variance365.7990745
MonotonicityNot monotonic
2021-11-29T11:31:51.591119image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
116331
 
1.7%
118316
 
1.6%
112313
 
1.6%
132312
 
1.6%
120306
 
1.5%
126304
 
1.5%
110301
 
1.5%
114298
 
1.5%
124298
 
1.5%
128297
 
1.5%
Other values (475)16900
84.5%
ValueCountFrequency (%)
511
< 0.1%
51.51
< 0.1%
54.51
< 0.1%
621
< 0.1%
631
< 0.1%
651
< 0.1%
65.51
< 0.1%
662
< 0.1%
66.51
< 0.1%
68.51
< 0.1%
ValueCountFrequency (%)
2071
 
< 0.1%
2031
 
< 0.1%
2021
 
< 0.1%
1981
 
< 0.1%
1971
 
< 0.1%
196.51
 
< 0.1%
195.51
 
< 0.1%
1953
< 0.1%
194.752
< 0.1%
1944
< 0.1%

MAP-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct14332
Distinct (%)72.0%
Missing102
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean86.74191272
Minimum34.29166667
Maximum143.2285714
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:51.695436image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum34.29166667
5-th percentile68.62435345
Q177.26923077
median85.13126566
Q394.64404762
95-th percentile110.3827381
Maximum143.2285714
Range108.9369048
Interquartile range (IQR)17.37481685

Descriptive statistics

Standard deviation12.90803422
Coefficient of variation (CV)0.1488096564
Kurtosis0.3753422494
Mean86.74191272
Median Absolute Deviation (MAD)8.535401003
Skewness0.6007607492
Sum1725990.579
Variance166.6173475
MonotonicityNot monotonic
2021-11-29T11:31:51.797172image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8534
 
0.2%
8031
 
0.2%
8730
 
0.1%
9228
 
0.1%
9127
 
0.1%
8226
 
0.1%
9325
 
0.1%
8125
 
0.1%
79.523
 
0.1%
8922
 
0.1%
Other values (14322)19627
98.1%
(Missing)102
 
0.5%
ValueCountFrequency (%)
34.291666671
< 0.1%
38.468751
< 0.1%
45.791666671
< 0.1%
46.166666671
< 0.1%
46.956521741
< 0.1%
48.039473681
< 0.1%
48.51
< 0.1%
491
< 0.1%
50.056818181
< 0.1%
50.285714291
< 0.1%
ValueCountFrequency (%)
143.22857141
< 0.1%
141.06451611
< 0.1%
140.72413791
< 0.1%
140.40566041
< 0.1%
1401
< 0.1%
139.93751
< 0.1%
138.99074071
< 0.1%
138.13636361
< 0.1%
137.51
< 0.1%
137.41304351
< 0.1%

MAP-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct322
Distinct (%)1.6%
Missing102
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean86.18930295
Minimum33
Maximum144
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:52.056109image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile68
Q176.5
median84.75
Q394
95-th percentile110.5
Maximum144
Range111
Interquartile range (IQR)17.5

Descriptive statistics

Standard deviation13.16411582
Coefficient of variation (CV)0.1527349146
Kurtosis0.3658354042
Mean86.18930295
Median Absolute Deviation (MAD)8.75
Skewness0.5997528945
Sum1714994.75
Variance173.2939454
MonotonicityNot monotonic
2021-11-29T11:31:52.152370image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
78558
 
2.8%
82540
 
2.7%
80504
 
2.5%
76501
 
2.5%
88497
 
2.5%
86488
 
2.4%
77464
 
2.3%
84455
 
2.3%
74432
 
2.2%
90420
 
2.1%
Other values (312)15039
75.2%
ValueCountFrequency (%)
331
 
< 0.1%
341
 
< 0.1%
43.51
 
< 0.1%
453
< 0.1%
48.51
 
< 0.1%
491
 
< 0.1%
49.751
 
< 0.1%
503
< 0.1%
512
< 0.1%
51.51
 
< 0.1%
ValueCountFrequency (%)
1441
 
< 0.1%
143.51
 
< 0.1%
1431
 
< 0.1%
1411
 
< 0.1%
1404
< 0.1%
139.51
 
< 0.1%
139.251
 
< 0.1%
138.52
< 0.1%
1382
< 0.1%
1372
< 0.1%

DBP-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct14217
Distinct (%)71.2%
Missing27
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean66.6384943
Minimum24
Maximum116.1891892
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:52.253343image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile50.94563492
Q159.1
median65.55
Q373.28571429
95-th percentile86.22745098
Maximum116.1891892
Range92.18918919
Interquartile range (IQR)14.18571429

Descriptive statistics

Standard deviation10.80896208
Coefficient of variation (CV)0.1622029758
Kurtosis0.5003833477
Mean66.6384943
Median Absolute Deviation (MAD)6.992307692
Skewness0.5108030707
Sum1330970.647
Variance116.8336612
MonotonicityNot monotonic
2021-11-29T11:31:52.354306image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67.534
 
0.2%
6129
 
0.1%
6927
 
0.1%
6626
 
0.1%
6525
 
0.1%
7025
 
0.1%
6725
 
0.1%
6024
 
0.1%
6424
 
0.1%
6224
 
0.1%
Other values (14207)19710
98.6%
(Missing)27
 
0.1%
ValueCountFrequency (%)
241
< 0.1%
28.583333331
< 0.1%
29.5751
< 0.1%
30.414285711
< 0.1%
31.022222221
< 0.1%
32.022727271
< 0.1%
32.526315791
< 0.1%
32.93751
< 0.1%
33.088235291
< 0.1%
33.480769231
< 0.1%
ValueCountFrequency (%)
116.18918921
< 0.1%
116.01351351
< 0.1%
115.13636361
< 0.1%
114.8751
< 0.1%
113.28571431
< 0.1%
112.26923081
< 0.1%
110.8751
< 0.1%
110.8251
< 0.1%
110.03846151
< 0.1%
109.45348841
< 0.1%

DBP-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct325
Distinct (%)1.6%
Missing27
Missing (%)0.1%
Infinite0
Infinite (%)0.0%
Mean65.98379412
Minimum24
Maximum117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:52.454134image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile50
Q158
median65
Q373
95-th percentile86
Maximum117
Range93
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.11804128
Coefficient of variation (CV)0.1684965442
Kurtosis0.4183439062
Mean65.98379412
Median Absolute Deviation (MAD)7
Skewness0.5133707969
Sum1317894.32
Variance123.610842
MonotonicityNot monotonic
2021-11-29T11:31:52.556415image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
58664
 
3.3%
60628
 
3.1%
64609
 
3.0%
62585
 
2.9%
56576
 
2.9%
63554
 
2.8%
65540
 
2.7%
59538
 
2.7%
66528
 
2.6%
61504
 
2.5%
Other values (315)14247
71.2%
ValueCountFrequency (%)
241
 
< 0.1%
27.51
 
< 0.1%
281
 
< 0.1%
28.51
 
< 0.1%
293
< 0.1%
323
< 0.1%
332
< 0.1%
33.52
< 0.1%
344
< 0.1%
353
< 0.1%
ValueCountFrequency (%)
1171
 
< 0.1%
1161
 
< 0.1%
114.751
 
< 0.1%
1131
 
< 0.1%
1123
< 0.1%
1111
 
< 0.1%
110.51
 
< 0.1%
1101
 
< 0.1%
109.751
 
< 0.1%
109.251
 
< 0.1%

Resp-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct9074
Distinct (%)45.5%
Missing43
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean18.48372382
Minimum1
Maximum56.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:52.655467image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.27119691
Q116.66666667
median18.1875
Q320.03947368
95-th percentile23.625
Maximum56.25
Range55.25
Interquartile range (IQR)3.372807018

Descriptive statistics

Standard deviation3.134884136
Coefficient of variation (CV)0.1696024117
Kurtosis6.795482191
Mean18.48372382
Median Absolute Deviation (MAD)1.677083333
Skewness0.6931995319
Sum368879.6762
Variance9.827498548
MonotonicityNot monotonic
2021-11-29T11:31:52.747567image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18298
 
1.5%
17142
 
0.7%
16140
 
0.7%
17.5119
 
0.6%
1992
 
0.5%
18.584
 
0.4%
16.578
 
0.4%
17.3333333376
 
0.4%
2059
 
0.3%
19.553
 
0.3%
Other values (9064)18816
94.1%
ValueCountFrequency (%)
14
< 0.1%
1.3333333332
< 0.1%
1.52
< 0.1%
1.5833333331
 
< 0.1%
1.6363636361
 
< 0.1%
1.6428571431
 
< 0.1%
1.7647058821
 
< 0.1%
1.8333333331
 
< 0.1%
1.8421052631
 
< 0.1%
1.91
 
< 0.1%
ValueCountFrequency (%)
56.251
< 0.1%
561
< 0.1%
50.041666671
< 0.1%
44.285714291
< 0.1%
40.214285711
< 0.1%
39.51
< 0.1%
38.916666671
< 0.1%
37.51251
< 0.1%
37.378787881
< 0.1%
37.251
< 0.1%

Resp-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct121
Distinct (%)0.6%
Missing43
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean18.3046049
Minimum1
Maximum56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:52.845265image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14
Q116
median18
Q320
95-th percentile24
Maximum56
Range55
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.25810626
Coefficient of variation (CV)0.1779938042
Kurtosis6.330757325
Mean18.3046049
Median Absolute Deviation (MAD)2
Skewness0.5389213854
Sum365305
Variance10.6152564
MonotonicityNot monotonic
2021-11-29T11:31:52.935354image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
183990
20.0%
202754
13.8%
162564
12.8%
171321
 
6.6%
191138
 
5.7%
15995
 
5.0%
22932
 
4.7%
14673
 
3.4%
21661
 
3.3%
24352
 
1.8%
Other values (111)4577
22.9%
ValueCountFrequency (%)
18
 
< 0.1%
1.53
 
< 0.1%
224
0.1%
2.53
 
< 0.1%
312
0.1%
3.253
 
< 0.1%
3.54
 
< 0.1%
3.751
 
< 0.1%
411
0.1%
4.53
 
< 0.1%
ValueCountFrequency (%)
562
< 0.1%
51.51
< 0.1%
402
< 0.1%
391
< 0.1%
382
< 0.1%
371
< 0.1%
36.251
< 0.1%
362
< 0.1%
35.52
< 0.1%
35.251
< 0.1%

EtCO2-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1928
Distinct (%)60.0%
Missing16784
Missing (%)83.9%
Infinite0
Infinite (%)0.0%
Mean33.09096109
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:53.033419image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile17.8875
Q128.34903846
median33.05
Q337.25
95-th percentile43.25347222
Maximum100
Range90
Interquartile range (IQR)8.900961538

Descriptive statistics

Standard deviation10.19338005
Coefficient of variation (CV)0.3080412207
Kurtosis16.96107567
Mean33.09096109
Median Absolute Deviation (MAD)4.45
Skewness2.739708572
Sum106420.5309
Variance103.9049968
MonotonicityNot monotonic
2021-11-29T11:31:53.127925image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3528
 
0.1%
3426
 
0.1%
4023
 
0.1%
3322
 
0.1%
3621
 
0.1%
3920
 
0.1%
3219
 
0.1%
2819
 
0.1%
3719
 
0.1%
34.518
 
0.1%
Other values (1918)3001
 
15.0%
(Missing)16784
83.9%
ValueCountFrequency (%)
104
< 0.1%
10.1251
 
< 0.1%
10.55
< 0.1%
10.833333331
 
< 0.1%
116
< 0.1%
11.151
 
< 0.1%
11.251
 
< 0.1%
11.51
 
< 0.1%
11.751
 
< 0.1%
11.846153851
 
< 0.1%
ValueCountFrequency (%)
1007
< 0.1%
994
< 0.1%
98.51
 
< 0.1%
986
< 0.1%
97.51
 
< 0.1%
97.251
 
< 0.1%
977
< 0.1%
962
 
< 0.1%
951
 
< 0.1%
942
 
< 0.1%

EtCO2-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct173
Distinct (%)5.4%
Missing16784
Missing (%)83.9%
Infinite0
Infinite (%)0.0%
Mean33.04485386
Minimum10
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:53.227988image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile17.5
Q128
median33
Q337
95-th percentile43.5
Maximum100
Range90
Interquartile range (IQR)9

Descriptive statistics

Standard deviation10.32476853
Coefficient of variation (CV)0.3124470931
Kurtosis16.13061293
Mean33.04485386
Median Absolute Deviation (MAD)4.5
Skewness2.621801772
Sum106272.25
Variance106.6008452
MonotonicityNot monotonic
2021-11-29T11:31:53.323560image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35137
 
0.7%
34136
 
0.7%
33136
 
0.7%
32131
 
0.7%
30124
 
0.6%
36112
 
0.6%
29109
 
0.5%
3998
 
0.5%
2896
 
0.5%
3795
 
0.5%
Other values (163)2042
 
10.2%
(Missing)16784
83.9%
ValueCountFrequency (%)
108
< 0.1%
10.56
 
< 0.1%
1110
0.1%
11.254
 
< 0.1%
11.56
 
< 0.1%
1215
0.1%
12.55
 
< 0.1%
1310
0.1%
13.252
 
< 0.1%
13.56
 
< 0.1%
ValueCountFrequency (%)
1007
< 0.1%
994
< 0.1%
98.51
 
< 0.1%
986
< 0.1%
97.52
 
< 0.1%
977
< 0.1%
962
 
< 0.1%
951
 
< 0.1%
942
 
< 0.1%
932
 
< 0.1%

BaseExcess-mean
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct392
Distinct (%)70.3%
Missing19442
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean-2.529682715
Minimum-22.36666667
Maximum9.1
Zeros2
Zeros (%)< 0.1%
Negative434
Negative (%)2.2%
Memory size156.4 KiB
2021-11-29T11:31:53.421623image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-22.36666667
5-th percentile-9.23
Q1-4.6
median-2.4
Q3-0.38125
95-th percentile3.6778125
Maximum9.1
Range31.46666667
Interquartile range (IQR)4.21875

Descriptive statistics

Standard deviation3.85935829
Coefficient of variation (CV)-1.525629387
Kurtosis2.348435347
Mean-2.529682715
Median Absolute Deviation (MAD)2.1
Skewness-0.4961503107
Sum-1411.562955
Variance14.89464641
MonotonicityNot monotonic
2021-11-29T11:31:53.597234image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.78
 
< 0.1%
-1.37
 
< 0.1%
-3.97
 
< 0.1%
1.26
 
< 0.1%
-4.66
 
< 0.1%
-0.95
 
< 0.1%
-3.35
 
< 0.1%
-3.75
 
< 0.1%
-4.45
 
< 0.1%
-3.45
 
< 0.1%
Other values (382)499
 
2.5%
(Missing)19442
97.2%
ValueCountFrequency (%)
-22.366666671
< 0.1%
-18.251
< 0.1%
-16.183333331
< 0.1%
-15.11
< 0.1%
-15.0751
< 0.1%
-14.0251
< 0.1%
-14.021
< 0.1%
-13.051
< 0.1%
-121
< 0.1%
-11.81
< 0.1%
ValueCountFrequency (%)
9.11
< 0.1%
91
< 0.1%
8.1751
< 0.1%
7.6428571431
< 0.1%
7.62
< 0.1%
7.11
< 0.1%
6.31
< 0.1%
6.11
< 0.1%
5.92
< 0.1%
5.851
< 0.1%

BaseExcess-median
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct272
Distinct (%)48.7%
Missing19442
Missing (%)97.2%
Infinite0
Infinite (%)0.0%
Mean-2.538620072
Minimum-22.1
Maximum9.1
Zeros6
Zeros (%)< 0.1%
Negative429
Negative (%)2.1%
Memory size156.4 KiB
2021-11-29T11:31:53.695865image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-22.1
5-th percentile-9.26875
Q1-4.6
median-2.4
Q3-0.375
95-th percentile3.88
Maximum9.1
Range31.2
Interquartile range (IQR)4.225

Descriptive statistics

Standard deviation3.886708635
Coefficient of variation (CV)-1.531032028
Kurtosis2.211538927
Mean-2.538620072
Median Absolute Deviation (MAD)2.1
Skewness-0.4712354538
Sum-1416.55
Variance15.10650402
MonotonicityNot monotonic
2021-11-29T11:31:53.789131image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
-1.711
 
0.1%
-2.89
 
< 0.1%
-3.98
 
< 0.1%
-1.38
 
< 0.1%
-37
 
< 0.1%
-3.27
 
< 0.1%
-3.47
 
< 0.1%
06
 
< 0.1%
-3.76
 
< 0.1%
-0.96
 
< 0.1%
Other values (262)483
 
2.4%
(Missing)19442
97.2%
ValueCountFrequency (%)
-22.11
< 0.1%
-18.251
< 0.1%
-16.31
< 0.1%
-15.11
< 0.1%
-15.0751
< 0.1%
-14.051
< 0.1%
-14.0251
< 0.1%
-13.051
< 0.1%
-12.21
< 0.1%
-11.81
< 0.1%
ValueCountFrequency (%)
9.11
< 0.1%
91
< 0.1%
8.51
< 0.1%
8.1751
< 0.1%
7.62
< 0.1%
7.11
< 0.1%
6.31
< 0.1%
6.11
< 0.1%
5.91
< 0.1%
5.851
< 0.1%

HCO3-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct310
Distinct (%)74.5%
Missing19584
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean23.34547262
Minimum7.7
Maximum33.05714286
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:53.886073image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7.7
5-th percentile18.39375
Q121.7
median23.403125
Q325.0125
95-th percentile28.8
Maximum33.05714286
Range25.35714286
Interquartile range (IQR)3.3125

Descriptive statistics

Standard deviation3.07572166
Coefficient of variation (CV)0.1317480999
Kurtosis2.223522011
Mean23.34547262
Median Absolute Deviation (MAD)1.671875
Skewness-0.2459323095
Sum9711.71661
Variance9.460063729
MonotonicityNot monotonic
2021-11-29T11:31:53.984929image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.56
 
< 0.1%
21.56
 
< 0.1%
23.95
 
< 0.1%
23.25
 
< 0.1%
28.84
 
< 0.1%
22.64
 
< 0.1%
21.34
 
< 0.1%
224
 
< 0.1%
21.74
 
< 0.1%
22.24
 
< 0.1%
Other values (300)370
 
1.8%
(Missing)19584
97.9%
ValueCountFrequency (%)
7.71
< 0.1%
13.11
< 0.1%
13.151
< 0.1%
14.61
< 0.1%
15.466666671
< 0.1%
16.21
< 0.1%
16.366666671
< 0.1%
16.431
< 0.1%
16.81
< 0.1%
171
< 0.1%
ValueCountFrequency (%)
33.057142861
< 0.1%
32.81
< 0.1%
32.41
< 0.1%
322
< 0.1%
30.91
< 0.1%
30.61
< 0.1%
30.11
< 0.1%
29.71
< 0.1%
29.52
< 0.1%
29.451
< 0.1%

HCO3-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct217
Distinct (%)52.2%
Missing19584
Missing (%)97.9%
Infinite0
Infinite (%)0.0%
Mean23.33960337
Minimum7.7
Maximum34
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:54.080798image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum7.7
5-th percentile18.5
Q121.6
median23.475
Q325.1
95-th percentile28.525
Maximum34
Range26.3
Interquartile range (IQR)3.5

Descriptive statistics

Standard deviation3.099274851
Coefficient of variation (CV)0.1327903822
Kurtosis2.193542379
Mean23.33960337
Median Absolute Deviation (MAD)1.725
Skewness-0.2167493007
Sum9709.275
Variance9.605504601
MonotonicityNot monotonic
2021-11-29T11:31:54.178418image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23.59
 
< 0.1%
22.67
 
< 0.1%
21.56
 
< 0.1%
23.86
 
< 0.1%
23.76
 
< 0.1%
25.36
 
< 0.1%
25.15
 
< 0.1%
24.25
 
< 0.1%
23.25
 
< 0.1%
23.95
 
< 0.1%
Other values (207)356
 
1.8%
(Missing)19584
97.9%
ValueCountFrequency (%)
7.71
< 0.1%
13.11
< 0.1%
13.151
< 0.1%
14.61
< 0.1%
15.31
< 0.1%
16.051
< 0.1%
16.31
< 0.1%
16.41
< 0.1%
16.81
< 0.1%
172
< 0.1%
ValueCountFrequency (%)
341
< 0.1%
32.81
< 0.1%
32.41
< 0.1%
322
< 0.1%
30.91
< 0.1%
30.61
< 0.1%
30.11
< 0.1%
29.71
< 0.1%
29.52
< 0.1%
29.451
< 0.1%

FiO2-mean
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
MISSING
SKEWED

Distinct620
Distinct (%)10.6%
Missing14178
Missing (%)70.9%
Infinite0
Infinite (%)0.0%
Mean0.6540048137
Minimum-16
Maximum1000.3
Zeros0
Zeros (%)0.0%
Negative2
Negative (%)< 0.1%
Memory size156.4 KiB
2021-11-29T11:31:54.275928image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-16
5-th percentile0.21
Q10.36
median0.44
Q30.5891865079
95-th percentile1
Maximum1000.3
Range1016.3
Interquartile range (IQR)0.2291865079

Descriptive statistics

Standard deviation13.10707758
Coefficient of variation (CV)20.04125551
Kurtosis5815.504986
Mean0.6540048137
Median Absolute Deviation (MAD)0.105
Skewness76.23783285
Sum3807.616025
Variance171.7954826
MonotonicityNot monotonic
2021-11-29T11:31:54.376032image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.4948
 
4.7%
0.21560
 
2.8%
0.5536
 
2.7%
1326
 
1.6%
0.7211
 
1.1%
0.45205
 
1.0%
0.6203
 
1.0%
0.28193
 
1.0%
0.3151
 
0.8%
0.35108
 
0.5%
Other values (610)2381
 
11.9%
(Missing)14178
70.9%
ValueCountFrequency (%)
-161
 
< 0.1%
-5.63751
 
< 0.1%
0.042
 
< 0.1%
0.054
 
< 0.1%
0.064
 
< 0.1%
0.1151
 
< 0.1%
0.161
 
< 0.1%
0.21560
2.8%
0.2125
 
0.1%
0.21304347831
 
< 0.1%
ValueCountFrequency (%)
1000.31
 
< 0.1%
24
 
< 0.1%
1.61
 
< 0.1%
1.52
 
< 0.1%
1.2666666671
 
< 0.1%
1.2142857141
 
< 0.1%
1.21
 
< 0.1%
1.1666666672
 
< 0.1%
1326
1.6%
0.991
 
< 0.1%

FiO2-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct123
Distinct (%)2.1%
Missing14178
Missing (%)70.9%
Infinite0
Infinite (%)0.0%
Mean0.4753126074
Minimum0.04
Maximum2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:54.476128image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.21
Q10.36
median0.4
Q30.5
95-th percentile1
Maximum2
Range1.96
Interquartile range (IQR)0.14

Descriptive statistics

Standard deviation0.2105588808
Coefficient of variation (CV)0.4429903131
Kurtosis2.727652453
Mean0.4753126074
Median Absolute Deviation (MAD)0.1
Skewness1.362236754
Sum2767.27
Variance0.04433504227
MonotonicityNot monotonic
2021-11-29T11:31:54.578349image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.41596
 
8.0%
0.5824
 
4.1%
0.21608
 
3.0%
1402
 
2.0%
0.7284
 
1.4%
0.45261
 
1.3%
0.6240
 
1.2%
0.28223
 
1.1%
0.3220
 
1.1%
0.35141
 
0.7%
Other values (113)1023
 
5.1%
(Missing)14178
70.9%
ValueCountFrequency (%)
0.042
 
< 0.1%
0.055
 
< 0.1%
0.065
 
< 0.1%
0.1151
 
< 0.1%
0.21608
3.0%
0.211
 
< 0.1%
0.2414
 
0.1%
0.24517
 
0.1%
0.2511
 
0.1%
0.266
 
< 0.1%
ValueCountFrequency (%)
24
 
< 0.1%
1.61
 
< 0.1%
1.52
 
< 0.1%
1.21
 
< 0.1%
1402
2.0%
0.981
 
< 0.1%
0.961
 
< 0.1%
0.957
 
< 0.1%
0.932
 
< 0.1%
0.922
 
< 0.1%

pH-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct761
Distinct (%)13.2%
Missing14246
Missing (%)71.2%
Infinite0
Infinite (%)0.0%
Mean7.378449701
Minimum6.78
Maximum7.615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:54.687665image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.78
5-th percentile7.27
Q17.34
median7.38
Q37.42
95-th percentile7.485
Maximum7.615
Range0.835
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.06838952578
Coefficient of variation (CV)0.009268820491
Kurtosis3.555423499
Mean7.378449701
Median Absolute Deviation (MAD)0.04
Skewness-0.6345560451
Sum42455.59958
Variance0.004677127236
MonotonicityNot monotonic
2021-11-29T11:31:54.783132image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.38261
 
1.3%
7.4205
 
1.0%
7.37199
 
1.0%
7.41196
 
1.0%
7.42194
 
1.0%
7.36191
 
1.0%
7.34184
 
0.9%
7.35180
 
0.9%
7.39163
 
0.8%
7.32156
 
0.8%
Other values (751)3825
 
19.1%
(Missing)14246
71.2%
ValueCountFrequency (%)
6.781
< 0.1%
6.811
< 0.1%
6.9866666671
< 0.1%
7.0033333331
< 0.1%
7.0266666671
< 0.1%
7.0343751
< 0.1%
7.0466666671
< 0.1%
7.058751
< 0.1%
7.061
< 0.1%
7.068751
< 0.1%
ValueCountFrequency (%)
7.6151
 
< 0.1%
7.611
 
< 0.1%
7.64
< 0.1%
7.593
< 0.1%
7.5852
< 0.1%
7.5833333331
 
< 0.1%
7.583
< 0.1%
7.5751
 
< 0.1%
7.5741
 
< 0.1%
7.573
< 0.1%

pH-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct135
Distinct (%)2.3%
Missing14246
Missing (%)71.2%
Infinite0
Infinite (%)0.0%
Mean7.379348279
Minimum6.78
Maximum7.615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:54.884012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum6.78
5-th percentile7.27
Q17.34
median7.38
Q37.42
95-th percentile7.49
Maximum7.615
Range0.835
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.06923347547
Coefficient of variation (CV)0.009382058259
Kurtosis3.550569169
Mean7.379348279
Median Absolute Deviation (MAD)0.04
Skewness-0.6617156254
Sum42460.77
Variance0.004793274126
MonotonicityNot monotonic
2021-11-29T11:31:54.982013image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7.38342
 
1.7%
7.4321
 
1.6%
7.36289
 
1.4%
7.37273
 
1.4%
7.42268
 
1.3%
7.35261
 
1.3%
7.41254
 
1.3%
7.39253
 
1.3%
7.34250
 
1.2%
7.32217
 
1.1%
Other values (125)3026
 
15.1%
(Missing)14246
71.2%
ValueCountFrequency (%)
6.781
< 0.1%
6.811
< 0.1%
6.941
< 0.1%
6.981
< 0.1%
7.011
< 0.1%
7.021
< 0.1%
7.0251
< 0.1%
7.0551
< 0.1%
7.061
< 0.1%
7.0651
< 0.1%
ValueCountFrequency (%)
7.6151
 
< 0.1%
7.611
 
< 0.1%
7.64
< 0.1%
7.5951
 
< 0.1%
7.593
 
< 0.1%
7.5851
 
< 0.1%
7.584
< 0.1%
7.5751
 
< 0.1%
7.576
< 0.1%
7.569
< 0.1%

PaCO2-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1324
Distinct (%)22.9%
Missing14221
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean40.36314483
Minimum12
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:55.168017image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile28.5
Q135
median39
Q343.56666667
95-th percentile57
Maximum100
Range88
Interquartile range (IQR)8.566666667

Descriptive statistics

Standard deviation9.502627724
Coefficient of variation (CV)0.2354283286
Kurtosis6.261454088
Mean40.36314483
Median Absolute Deviation (MAD)4
Skewness1.836396002
Sum233258.6139
Variance90.29993367
MonotonicityNot monotonic
2021-11-29T11:31:55.262412image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38173
 
0.9%
36155
 
0.8%
35150
 
0.8%
37150
 
0.8%
40150
 
0.8%
34146
 
0.7%
41137
 
0.7%
42135
 
0.7%
39124
 
0.6%
44119
 
0.6%
Other values (1314)4340
 
21.7%
(Missing)14221
71.1%
ValueCountFrequency (%)
121
 
< 0.1%
153
< 0.1%
15.31
 
< 0.1%
15.51
 
< 0.1%
162
< 0.1%
16.71
 
< 0.1%
173
< 0.1%
184
< 0.1%
18.81
 
< 0.1%
194
< 0.1%
ValueCountFrequency (%)
1001
< 0.1%
95.751
< 0.1%
951
< 0.1%
94.666666671
< 0.1%
93.41
< 0.1%
92.52
< 0.1%
921
< 0.1%
89.666666671
< 0.1%
89.21
< 0.1%
88.11
< 0.1%

PaCO2-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct580
Distinct (%)10.0%
Missing14221
Missing (%)71.1%
Infinite0
Infinite (%)0.0%
Mean40.24149074
Minimum12
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:55.363880image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile28.3
Q135
median39
Q343.5
95-th percentile57
Maximum100
Range88
Interquartile range (IQR)8.5

Descriptive statistics

Standard deviation9.553163238
Coefficient of variation (CV)0.2373958584
Kurtosis6.580025868
Mean40.24149074
Median Absolute Deviation (MAD)4
Skewness1.881281469
Sum232555.575
Variance91.26292786
MonotonicityNot monotonic
2021-11-29T11:31:55.459327image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38252
 
1.3%
36224
 
1.1%
40221
 
1.1%
37209
 
1.0%
35203
 
1.0%
34201
 
1.0%
39189
 
0.9%
42189
 
0.9%
41176
 
0.9%
44147
 
0.7%
Other values (570)3768
 
18.8%
(Missing)14221
71.1%
ValueCountFrequency (%)
121
 
< 0.1%
153
< 0.1%
15.31
 
< 0.1%
15.51
 
< 0.1%
163
< 0.1%
16.71
 
< 0.1%
174
< 0.1%
184
< 0.1%
18.81
 
< 0.1%
195
< 0.1%
ValueCountFrequency (%)
1001
< 0.1%
982
< 0.1%
951
< 0.1%
941
< 0.1%
93.41
< 0.1%
92.52
< 0.1%
921
< 0.1%
902
< 0.1%
89.151
< 0.1%
891
< 0.1%

SaO2-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1153
Distinct (%)22.5%
Missing14875
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean96.68643136
Minimum50.3
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:55.556762image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum50.3
5-th percentile91.9
Q195.8
median97.4
Q398.6
95-th percentile99.5
Maximum100
Range49.7
Interquartile range (IQR)2.8

Descriptive statistics

Standard deviation3.121416242
Coefficient of variation (CV)0.03228391201
Kurtosis38.47620369
Mean96.68643136
Median Absolute Deviation (MAD)1.3
Skewness-4.428625065
Sum495517.9607
Variance9.743239358
MonotonicityNot monotonic
2021-11-29T11:31:55.658685image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9988
 
0.4%
98.886
 
0.4%
99.280
 
0.4%
98.680
 
0.4%
98.273
 
0.4%
99.172
 
0.4%
98.772
 
0.4%
99.470
 
0.4%
97.869
 
0.3%
98.468
 
0.3%
Other values (1143)4367
 
21.8%
(Missing)14875
74.4%
ValueCountFrequency (%)
50.31
< 0.1%
52.51
< 0.1%
58.81
< 0.1%
65.11
< 0.1%
65.61
< 0.1%
66.11
< 0.1%
681
< 0.1%
68.21
< 0.1%
68.251
< 0.1%
69.466666671
< 0.1%
ValueCountFrequency (%)
1001
 
< 0.1%
99.930
0.1%
99.851
 
< 0.1%
99.838461541
 
< 0.1%
99.833333333
 
< 0.1%
99.82
 
< 0.1%
99.834
0.2%
99.7751
 
< 0.1%
99.753
 
< 0.1%
99.738888891
 
< 0.1%

SaO2-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct377
Distinct (%)7.4%
Missing14875
Missing (%)74.4%
Infinite0
Infinite (%)0.0%
Mean96.81781463
Minimum50.3
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:55.756204image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum50.3
5-th percentile92.1
Q195.95
median97.55
Q398.7
95-th percentile99.5
Maximum100
Range49.7
Interquartile range (IQR)2.75

Descriptive statistics

Standard deviation3.080118287
Coefficient of variation (CV)0.03181354897
Kurtosis40.31261174
Mean96.81781463
Median Absolute Deviation (MAD)1.25
Skewness-4.542755846
Sum496191.3
Variance9.487128664
MonotonicityNot monotonic
2021-11-29T11:31:55.856230image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
98.8118
 
0.6%
99.2109
 
0.5%
99106
 
0.5%
98.6105
 
0.5%
99.1105
 
0.5%
98.9104
 
0.5%
98.4102
 
0.5%
98.5101
 
0.5%
98.3100
 
0.5%
98.797
 
0.5%
Other values (367)4078
 
20.4%
(Missing)14875
74.4%
ValueCountFrequency (%)
50.31
< 0.1%
52.51
< 0.1%
58.81
< 0.1%
65.11
< 0.1%
65.61
< 0.1%
66.11
< 0.1%
681
< 0.1%
68.21
< 0.1%
68.851
< 0.1%
71.21
< 0.1%
ValueCountFrequency (%)
1001
 
< 0.1%
99.931
0.2%
99.852
 
< 0.1%
99.82
 
< 0.1%
99.843
0.2%
99.754
 
< 0.1%
99.755
0.3%
99.73
 
< 0.1%
99.6512
 
0.1%
99.6252
 
< 0.1%

AST-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1140
Distinct (%)13.5%
Missing11536
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean102.5666227
Minimum5
Maximum9264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:55.955869image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile13
Q119
median28
Q353
95-th percentile288.925
Maximum9264
Range9259
Interquartile range (IQR)34

Descriptive statistics

Standard deviation408.9595643
Coefficient of variation (CV)3.987257781
Kurtosis147.3602341
Mean102.5666227
Median Absolute Deviation (MAD)11.5
Skewness10.87603604
Sum868123.8943
Variance167247.9253
MonotonicityNot monotonic
2021-11-29T11:31:56.054229image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18263
 
1.3%
19262
 
1.3%
17254
 
1.3%
21245
 
1.2%
20241
 
1.2%
16228
 
1.1%
22219
 
1.1%
24214
 
1.1%
15213
 
1.1%
23197
 
1.0%
Other values (1130)6128
30.6%
(Missing)11536
57.7%
ValueCountFrequency (%)
52
 
< 0.1%
5.51
 
< 0.1%
65
 
< 0.1%
6.52
 
< 0.1%
77
 
< 0.1%
815
0.1%
8.251
 
< 0.1%
8.56
 
< 0.1%
933
0.2%
9.511
 
0.1%
ValueCountFrequency (%)
92641
< 0.1%
79061
< 0.1%
68361
< 0.1%
6642.21
< 0.1%
6602.51
< 0.1%
65601
< 0.1%
62361
< 0.1%
6069.61
< 0.1%
5866.51
< 0.1%
5805.6666671
< 0.1%

AST-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct801
Distinct (%)9.5%
Missing11536
Missing (%)57.7%
Infinite0
Infinite (%)0.0%
Mean99.08066517
Minimum5
Maximum9264
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:56.155416image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile13
Q119
median28
Q352.5
95-th percentile283
Maximum9264
Range9259
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation403.3067974
Coefficient of variation (CV)4.070489401
Kurtosis173.4224384
Mean99.08066517
Median Absolute Deviation (MAD)11.5
Skewness11.78378329
Sum838618.75
Variance162656.3728
MonotonicityNot monotonic
2021-11-29T11:31:56.257350image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19273
 
1.4%
18267
 
1.3%
17262
 
1.3%
21259
 
1.3%
20255
 
1.3%
16239
 
1.2%
22228
 
1.1%
15226
 
1.1%
24222
 
1.1%
14210
 
1.1%
Other values (791)6023
30.1%
(Missing)11536
57.7%
ValueCountFrequency (%)
52
 
< 0.1%
5.51
 
< 0.1%
65
 
< 0.1%
6.52
 
< 0.1%
77
 
< 0.1%
814
 
0.1%
8.251
 
< 0.1%
8.56
 
< 0.1%
935
0.2%
9.512
 
0.1%
ValueCountFrequency (%)
92641
< 0.1%
79381
< 0.1%
79061
< 0.1%
7416.51
< 0.1%
73941
< 0.1%
68461
< 0.1%
6602.51
< 0.1%
65601
< 0.1%
60581
< 0.1%
5866.51
< 0.1%

BUN-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1122
Distinct (%)6.1%
Missing1591
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean21.43511645
Minimum1
Maximum192.8333333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:56.360338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q111
median16
Q325
95-th percentile57
Maximum192.8333333
Range191.8333333
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17.55304021
Coefficient of variation (CV)0.8188917588
Kurtosis10.36440433
Mean21.43511645
Median Absolute Deviation (MAD)6
Skewness2.69803319
Sum394599.0587
Variance308.1092206
MonotonicityNot monotonic
2021-11-29T11:31:56.460238image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13653
 
3.3%
12651
 
3.3%
10601
 
3.0%
14588
 
2.9%
11576
 
2.9%
15519
 
2.6%
16495
 
2.5%
9491
 
2.5%
17471
 
2.4%
8429
 
2.1%
Other values (1112)12935
64.7%
(Missing)1591
 
8.0%
ValueCountFrequency (%)
16
 
< 0.1%
1.251
 
< 0.1%
1.55
 
< 0.1%
1.5384615381
 
< 0.1%
1.5833333332
 
< 0.1%
1.6666666676
 
< 0.1%
1.751
 
< 0.1%
216
0.1%
2.1251
 
< 0.1%
2.3333333331
 
< 0.1%
ValueCountFrequency (%)
192.83333331
< 0.1%
181.61
< 0.1%
179.51
< 0.1%
1781
< 0.1%
1721
< 0.1%
1701
< 0.1%
1611
< 0.1%
1521
< 0.1%
151.33333331
< 0.1%
1471
< 0.1%

BUN-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct305
Distinct (%)1.7%
Missing1591
Missing (%)8.0%
Infinite0
Infinite (%)0.0%
Mean21.38318214
Minimum1
Maximum202.5
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:56.567156image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q111
median16
Q325
95-th percentile56.8
Maximum202.5
Range201.5
Interquartile range (IQR)14

Descriptive statistics

Standard deviation17.61743484
Coefficient of variation (CV)0.8238921002
Kurtosis10.74599209
Mean21.38318214
Median Absolute Deviation (MAD)6
Skewness2.731324231
Sum393643
Variance310.3740104
MonotonicityNot monotonic
2021-11-29T11:31:56.752601image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12798
 
4.0%
13790
 
4.0%
14746
 
3.7%
10732
 
3.7%
11731
 
3.7%
15636
 
3.2%
9628
 
3.1%
16615
 
3.1%
17593
 
3.0%
18525
 
2.6%
Other values (295)11615
58.1%
(Missing)1591
 
8.0%
ValueCountFrequency (%)
112
 
0.1%
1.252
 
< 0.1%
1.57
 
< 0.1%
222
 
0.1%
2.58
 
< 0.1%
379
0.4%
3.528
 
0.1%
3.751
 
< 0.1%
4159
0.8%
4.251
 
< 0.1%
ValueCountFrequency (%)
202.51
< 0.1%
2001
< 0.1%
1821
< 0.1%
179.51
< 0.1%
1702
< 0.1%
1611
< 0.1%
1521
< 0.1%
1511
< 0.1%
1471
< 0.1%
1451
< 0.1%

Alkalinephos-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1036
Distinct (%)12.2%
Missing11530
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean88.37053948
Minimum11
Maximum1650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:56.859747image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile34.05
Q152
median69
Q397
95-th percentile198
Maximum1650
Range1639
Interquartile range (IQR)45

Descriptive statistics

Standard deviation80.74393553
Coefficient of variation (CV)0.9136974382
Kurtosis74.15927109
Mean88.37053948
Median Absolute Deviation (MAD)20
Skewness6.637635128
Sum748498.4694
Variance6519.583125
MonotonicityNot monotonic
2021-11-29T11:31:56.957303image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
52118
 
0.6%
53117
 
0.6%
69114
 
0.6%
55113
 
0.6%
58110
 
0.5%
56108
 
0.5%
50108
 
0.5%
71107
 
0.5%
54107
 
0.5%
59106
 
0.5%
Other values (1026)7362
36.8%
(Missing)11530
57.6%
ValueCountFrequency (%)
112
< 0.1%
131
 
< 0.1%
141
 
< 0.1%
151
 
< 0.1%
162
< 0.1%
184
< 0.1%
18.333333331
 
< 0.1%
194
< 0.1%
19.333333331
 
< 0.1%
202
< 0.1%
ValueCountFrequency (%)
16502
< 0.1%
1303.51
< 0.1%
12141
< 0.1%
11291
< 0.1%
10721
< 0.1%
1051.51
< 0.1%
1003.251
< 0.1%
9721
< 0.1%
959.51
< 0.1%
9581
< 0.1%

Alkalinephos-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct624
Distinct (%)7.4%
Missing11530
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean88.18476978
Minimum11
Maximum1650
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:57.060773image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile34
Q152
median69
Q396
95-th percentile198
Maximum1650
Range1639
Interquartile range (IQR)44

Descriptive statistics

Standard deviation80.47511024
Coefficient of variation (CV)0.9125737976
Kurtosis74.56907729
Mean88.18476978
Median Absolute Deviation (MAD)20
Skewness6.638995858
Sum746925
Variance6476.243368
MonotonicityNot monotonic
2021-11-29T11:31:57.157550image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
53126
 
0.6%
69124
 
0.6%
58124
 
0.6%
52121
 
0.6%
55119
 
0.6%
56117
 
0.6%
61115
 
0.6%
54115
 
0.6%
51113
 
0.6%
68113
 
0.6%
Other values (614)7283
36.4%
(Missing)11530
57.6%
ValueCountFrequency (%)
112
 
< 0.1%
131
 
< 0.1%
141
 
< 0.1%
151
 
< 0.1%
162
 
< 0.1%
185
< 0.1%
195
< 0.1%
203
 
< 0.1%
2110
0.1%
21.51
 
< 0.1%
ValueCountFrequency (%)
16502
< 0.1%
1303.51
< 0.1%
12141
< 0.1%
11291
< 0.1%
10721
< 0.1%
1051.51
< 0.1%
9722
< 0.1%
959.51
< 0.1%
9581
< 0.1%
9331
< 0.1%

Calcium-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct3769
Distinct (%)20.4%
Missing1550
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean7.743981929
Minimum1.063333333
Maximum27.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:57.259906image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.063333333
5-th percentile4.035714286
Q17.3
median8.266666667
Q38.766666667
95-th percentile9.4
Maximum27.45
Range26.38666667
Interquartile range (IQR)1.466666667

Descriptive statistics

Standard deviation1.77068401
Coefficient of variation (CV)0.2286529109
Kurtosis4.496435604
Mean7.743981929
Median Absolute Deviation (MAD)0.6166666667
Skewness-0.5413985796
Sum142876.4666
Variance3.135321863
MonotonicityNot monotonic
2021-11-29T11:31:57.356358image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.5647
 
3.2%
8.3549
 
2.7%
8.6542
 
2.7%
8.4513
 
2.6%
8.8501
 
2.5%
8.7497
 
2.5%
8.2479
 
2.4%
8.9445
 
2.2%
8.1441
 
2.2%
9433
 
2.2%
Other values (3759)13403
67.0%
(Missing)1550
 
7.8%
ValueCountFrequency (%)
1.0633333331
 
< 0.1%
1.071
 
< 0.1%
1.083
< 0.1%
1.0851
 
< 0.1%
1.091
 
< 0.1%
1.12
< 0.1%
1.111
 
< 0.1%
1.121
 
< 0.1%
1.1251
 
< 0.1%
1.133
< 0.1%
ValueCountFrequency (%)
27.451
 
< 0.1%
25.21
 
< 0.1%
23.71
 
< 0.1%
19.11
 
< 0.1%
18.82
< 0.1%
18.63
< 0.1%
18.31
 
< 0.1%
18.23
< 0.1%
18.11
 
< 0.1%
182
< 0.1%

Calcium-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1009
Distinct (%)5.5%
Missing1550
Missing (%)7.8%
Infinite0
Infinite (%)0.0%
Mean7.791532249
Minimum1.01
Maximum27.45
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:57.450338image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.01
5-th percentile1.33
Q17.8
median8.3
Q38.8
95-th percentile9.4
Maximum27.45
Range26.44
Interquartile range (IQR)1

Descriptive statistics

Standard deviation2.053533862
Coefficient of variation (CV)0.2635596948
Kurtosis5.568138851
Mean7.791532249
Median Absolute Deviation (MAD)0.5
Skewness-1.587741001
Sum143753.77
Variance4.217001322
MonotonicityNot monotonic
2021-11-29T11:31:57.548763image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.3845
 
4.2%
8.5837
 
4.2%
8.2762
 
3.8%
8.6754
 
3.8%
8.8741
 
3.7%
8.7740
 
3.7%
8.4726
 
3.6%
8.1669
 
3.3%
8606
 
3.0%
8.9575
 
2.9%
Other values (999)11195
56.0%
(Missing)1550
 
7.8%
ValueCountFrequency (%)
1.011
 
< 0.1%
1.043
 
< 0.1%
1.051
 
< 0.1%
1.0551
 
< 0.1%
1.061
 
< 0.1%
1.076
< 0.1%
1.0752
 
< 0.1%
1.086
< 0.1%
1.0852
 
< 0.1%
1.0913
0.1%
ValueCountFrequency (%)
27.451
 
< 0.1%
25.21
 
< 0.1%
23.71
 
< 0.1%
19.11
 
< 0.1%
18.82
< 0.1%
18.63
< 0.1%
18.31
 
< 0.1%
18.23
< 0.1%
18.11
 
< 0.1%
182
< 0.1%

Chloride-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct321
Distinct (%)19.9%
Missing18383
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean105.9066444
Minimum74
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:57.644264image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile97
Q1103.5
median106.2857143
Q3109
95-th percentile113
Maximum124
Range50
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation5.04682118
Coefficient of variation (CV)0.04765348961
Kurtosis3.06717699
Mean105.9066444
Median Absolute Deviation (MAD)2.714285714
Skewness-0.8022249078
Sum171251.0441
Variance25.47040402
MonotonicityNot monotonic
2021-11-29T11:31:57.742711image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107100
 
0.5%
10898
 
0.5%
10696
 
0.5%
10594
 
0.5%
10980
 
0.4%
10378
 
0.4%
10473
 
0.4%
11059
 
0.3%
10251
 
0.3%
11134
 
0.2%
Other values (311)854
 
4.3%
(Missing)18383
91.9%
ValueCountFrequency (%)
741
 
< 0.1%
821
 
< 0.1%
82.51
 
< 0.1%
83.333333331
 
< 0.1%
851
 
< 0.1%
862
< 0.1%
884
< 0.1%
88.777777781
 
< 0.1%
893
< 0.1%
89.51
 
< 0.1%
ValueCountFrequency (%)
1243
< 0.1%
1232
 
< 0.1%
1221
 
< 0.1%
121.66666671
 
< 0.1%
1192
 
< 0.1%
118.66666671
 
< 0.1%
118.52
 
< 0.1%
1185
< 0.1%
117.51
 
< 0.1%
117.21
 
< 0.1%

Chloride-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct86
Distinct (%)5.3%
Missing18383
Missing (%)91.9%
Infinite0
Infinite (%)0.0%
Mean105.9225417
Minimum74
Maximum124
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:57.839978image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum74
5-th percentile97
Q1103.5
median106
Q3109
95-th percentile113
Maximum124
Range50
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation5.065038683
Coefficient of variation (CV)0.04781832649
Kurtosis3.110997013
Mean105.9225417
Median Absolute Deviation (MAD)3
Skewness-0.8143374426
Sum171276.75
Variance25.65461686
MonotonicityNot monotonic
2021-11-29T11:31:57.938367image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
107144
 
0.7%
108128
 
0.6%
106126
 
0.6%
105125
 
0.6%
109104
 
0.5%
10490
 
0.4%
10388
 
0.4%
11082
 
0.4%
10261
 
0.3%
11156
 
0.3%
Other values (76)613
 
3.1%
(Missing)18383
91.9%
ValueCountFrequency (%)
741
 
< 0.1%
811
 
< 0.1%
821
 
< 0.1%
82.51
 
< 0.1%
863
< 0.1%
871
 
< 0.1%
884
< 0.1%
893
< 0.1%
89.51
 
< 0.1%
902
< 0.1%
ValueCountFrequency (%)
1243
< 0.1%
1232
 
< 0.1%
1222
 
< 0.1%
1192
 
< 0.1%
118.51
 
< 0.1%
1185
< 0.1%
117.52
 
< 0.1%
1176
< 0.1%
116.52
 
< 0.1%
1162
 
< 0.1%

Creatinine-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct3604
Distinct (%)19.6%
Missing1588
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.576464298
Minimum0.2
Maximum25.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:58.035101image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.53
Q10.735
median0.94
Q31.355
95-th percentile5.71
Maximum25.33
Range25.13
Interquartile range (IQR)0.62

Descriptive statistics

Standard deviation2.083636156
Coefficient of variation (CV)1.321714775
Kurtosis24.80467251
Mean1.576464298
Median Absolute Deviation (MAD)0.2566666667
Skewness4.413790644
Sum29025.86066
Variance4.341539629
MonotonicityNot monotonic
2021-11-29T11:31:58.131260image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.81168
 
0.8%
0.8156
 
0.8%
0.77154
 
0.8%
0.79154
 
0.8%
0.73153
 
0.8%
0.71150
 
0.8%
0.75145
 
0.7%
0.7143
 
0.7%
0.89138
 
0.7%
0.78136
 
0.7%
Other values (3594)16915
84.6%
(Missing)1588
 
7.9%
ValueCountFrequency (%)
0.21
 
< 0.1%
0.222
 
< 0.1%
0.2351
 
< 0.1%
0.241
 
< 0.1%
0.271
 
< 0.1%
0.281
 
< 0.1%
0.2851
 
< 0.1%
0.332
0.2%
0.3051
 
< 0.1%
0.314
 
< 0.1%
ValueCountFrequency (%)
25.331
< 0.1%
251
< 0.1%
24.571
< 0.1%
23.831
< 0.1%
23.8251
< 0.1%
23.4951
< 0.1%
23.4851
< 0.1%
23.4351
< 0.1%
21.311
< 0.1%
21.181
< 0.1%

Creatinine-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1807
Distinct (%)9.8%
Missing1588
Missing (%)7.9%
Infinite0
Infinite (%)0.0%
Mean1.573319846
Minimum0.2
Maximum25.33
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:58.311318image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.2
5-th percentile0.525
Q10.735
median0.94
Q31.35
95-th percentile5.68
Maximum25.33
Range25.13
Interquartile range (IQR)0.615

Descriptive statistics

Standard deviation2.082281524
Coefficient of variation (CV)1.323495366
Kurtosis24.73944754
Mean1.573319846
Median Absolute Deviation (MAD)0.255
Skewness4.412836616
Sum28967.965
Variance4.335896347
MonotonicityNot monotonic
2021-11-29T11:31:58.407494image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.8208
 
1.0%
0.77204
 
1.0%
0.81197
 
1.0%
0.79190
 
0.9%
0.73187
 
0.9%
0.71186
 
0.9%
0.7184
 
0.9%
0.78180
 
0.9%
0.75178
 
0.9%
0.76172
 
0.9%
Other values (1797)16526
82.6%
(Missing)1588
 
7.9%
ValueCountFrequency (%)
0.21
 
< 0.1%
0.2051
 
< 0.1%
0.221
 
< 0.1%
0.2351
 
< 0.1%
0.241
 
< 0.1%
0.271
 
< 0.1%
0.281
 
< 0.1%
0.2851
 
< 0.1%
0.333
0.2%
0.3052
 
< 0.1%
ValueCountFrequency (%)
25.331
< 0.1%
252
< 0.1%
23.831
< 0.1%
23.8251
< 0.1%
23.4951
< 0.1%
23.4851
< 0.1%
23.371
< 0.1%
21.311
< 0.1%
21.181
< 0.1%
20.291
< 0.1%

Bilirubin_direct-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct218
Distinct (%)14.8%
Missing18529
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean0.7189215335
Minimum0.01
Maximum24.035
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:58.501291image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.1
Q10.1
median0.2
Q30.43
95-th percentile2.5
Maximum24.035
Range24.025
Interquartile range (IQR)0.33

Descriptive statistics

Standard deviation2.022711854
Coefficient of variation (CV)2.813536332
Kurtosis59.1130836
Mean0.7189215335
Median Absolute Deviation (MAD)0.1
Skewness7.079414699
Sum1057.533576
Variance4.091363246
MonotonicityNot monotonic
2021-11-29T11:31:58.600312image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1425
 
2.1%
0.2262
 
1.3%
0.3118
 
0.6%
0.480
 
0.4%
0.535
 
0.2%
0.627
 
0.1%
119
 
0.1%
0.717
 
0.1%
0.2515
 
0.1%
0.813
 
0.1%
Other values (208)460
 
2.3%
(Missing)18529
92.6%
ValueCountFrequency (%)
0.015
< 0.1%
0.024
< 0.1%
0.035
< 0.1%
0.044
< 0.1%
0.051
 
< 0.1%
0.054
< 0.1%
0.066
< 0.1%
0.061
 
< 0.1%
0.077
< 0.1%
0.084
< 0.1%
ValueCountFrequency (%)
24.0351
< 0.1%
21.3351
< 0.1%
20.571
< 0.1%
202
< 0.1%
19.8151
< 0.1%
18.3951
< 0.1%
17.951
< 0.1%
16.61
< 0.1%
15.61
< 0.1%
15.21
< 0.1%

Bilirubin_direct-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct193
Distinct (%)13.1%
Missing18529
Missing (%)92.6%
Infinite0
Infinite (%)0.0%
Mean0.7139055065
Minimum0.01
Maximum23.3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:58.695953image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.1
Q10.1
median0.2
Q30.405
95-th percentile2.48
Maximum23.3
Range23.29
Interquartile range (IQR)0.305

Descriptive statistics

Standard deviation2.00545946
Coefficient of variation (CV)2.809138523
Kurtosis59.33609311
Mean0.7139055065
Median Absolute Deviation (MAD)0.1
Skewness7.099006483
Sum1050.155
Variance4.021867645
MonotonicityNot monotonic
2021-11-29T11:31:58.789643image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.1432
 
2.2%
0.2265
 
1.3%
0.3119
 
0.6%
0.484
 
0.4%
0.536
 
0.2%
0.628
 
0.1%
121
 
0.1%
0.720
 
0.1%
0.2517
 
0.1%
0.813
 
0.1%
Other values (183)436
 
2.2%
(Missing)18529
92.6%
ValueCountFrequency (%)
0.015
< 0.1%
0.024
< 0.1%
0.035
< 0.1%
0.044
< 0.1%
0.051
 
< 0.1%
0.054
< 0.1%
0.066
< 0.1%
0.061
 
< 0.1%
0.077
< 0.1%
0.084
< 0.1%
ValueCountFrequency (%)
23.31
< 0.1%
21.3351
< 0.1%
20.571
< 0.1%
202
< 0.1%
19.8151
< 0.1%
18.3951
< 0.1%
17.951
< 0.1%
16.61
< 0.1%
15.61
< 0.1%
151
< 0.1%

Glucose-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct7610
Distinct (%)40.4%
Missing1173
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean130.9364556
Minimum44
Maximum444.6666667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:58.885715image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile88.5
Q1106.6
median124.2
Q3144.125
95-th percentile201.4143939
Maximum444.6666667
Range400.6666667
Interquartile range (IQR)37.525

Descriptive statistics

Standard deviation36.20263241
Coefficient of variation (CV)0.2764900902
Kurtosis5.310666208
Mean130.9364556
Median Absolute Deviation (MAD)18.55
Skewness1.733113816
Sum2465140.649
Variance1310.630593
MonotonicityNot monotonic
2021-11-29T11:31:58.982047image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
99109
 
0.5%
95101
 
0.5%
10194
 
0.5%
10292
 
0.5%
10686
 
0.4%
9685
 
0.4%
10484
 
0.4%
11883
 
0.4%
9283
 
0.4%
9482
 
0.4%
Other values (7600)17928
89.6%
(Missing)1173
 
5.9%
ValueCountFrequency (%)
441
 
< 0.1%
511
 
< 0.1%
59.166666671
 
< 0.1%
611
 
< 0.1%
61.51
 
< 0.1%
622
< 0.1%
641
 
< 0.1%
65.607142861
 
< 0.1%
663
< 0.1%
671
 
< 0.1%
ValueCountFrequency (%)
444.66666671
< 0.1%
439.8751
< 0.1%
425.16666671
< 0.1%
415.351
< 0.1%
412.406251
< 0.1%
401.51
< 0.1%
3921
< 0.1%
3891
< 0.1%
376.51
< 0.1%
365.33333331
< 0.1%

Glucose-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct714
Distinct (%)3.8%
Missing1173
Missing (%)5.9%
Infinite0
Infinite (%)0.0%
Mean128.1403591
Minimum44
Maximum446
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:59.084629image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum44
5-th percentile87
Q1104.5
median122
Q3140.5
95-th percentile196.5
Maximum446
Range402
Interquartile range (IQR)36

Descriptive statistics

Standard deviation35.65520072
Coefficient of variation (CV)0.2782511379
Kurtosis6.506633846
Mean128.1403591
Median Absolute Deviation (MAD)18
Skewness1.887041391
Sum2412498.54
Variance1271.293339
MonotonicityNot monotonic
2021-11-29T11:31:59.180584image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126223
 
1.1%
115213
 
1.1%
118212
 
1.1%
122212
 
1.1%
108210
 
1.1%
127206
 
1.0%
121206
 
1.0%
116206
 
1.0%
123205
 
1.0%
114202
 
1.0%
Other values (704)16732
83.7%
(Missing)1173
 
5.9%
ValueCountFrequency (%)
441
< 0.1%
501
< 0.1%
511
< 0.1%
592
< 0.1%
611
< 0.1%
61.51
< 0.1%
622
< 0.1%
631
< 0.1%
642
< 0.1%
65.251
< 0.1%
ValueCountFrequency (%)
4461
< 0.1%
4452
< 0.1%
4291
< 0.1%
424.51
< 0.1%
401.51
< 0.1%
3891
< 0.1%
384.51
< 0.1%
3841
< 0.1%
3811
< 0.1%
376.51
< 0.1%

Lactate-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2042
Distinct (%)42.9%
Missing15240
Missing (%)76.2%
Infinite0
Infinite (%)0.0%
Mean2.274262809
Minimum0.5
Maximum21.04363636
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:59.284736image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile0.85
Q11.26
median1.73
Q32.621458333
95-th percentile5.416607143
Maximum21.04363636
Range20.54363636
Interquartile range (IQR)1.361458333

Descriptive statistics

Standard deviation1.818896201
Coefficient of variation (CV)0.7997739724
Kurtosis21.5552717
Mean2.274262809
Median Absolute Deviation (MAD)0.5766666667
Skewness3.769069307
Sum10825.49097
Variance3.30838339
MonotonicityNot monotonic
2021-11-29T11:31:59.376140image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.234
 
0.2%
1.130
 
0.1%
1.330
 
0.1%
1.2328
 
0.1%
1.427
 
0.1%
127
 
0.1%
0.924
 
0.1%
1.4223
 
0.1%
1.3523
 
0.1%
1.3122
 
0.1%
Other values (2032)4492
 
22.5%
(Missing)15240
76.2%
ValueCountFrequency (%)
0.54
< 0.1%
0.541
 
< 0.1%
0.551
 
< 0.1%
0.562
 
< 0.1%
0.574
< 0.1%
0.591
 
< 0.1%
0.66
< 0.1%
0.611
 
< 0.1%
0.6151
 
< 0.1%
0.621
 
< 0.1%
ValueCountFrequency (%)
21.043636361
< 0.1%
19.4251
< 0.1%
19.121
< 0.1%
17.751
< 0.1%
17.421
< 0.1%
16.902666671
< 0.1%
16.731666671
< 0.1%
16.293333331
< 0.1%
15.941
< 0.1%
15.9351
< 0.1%

Lactate-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1082
Distinct (%)22.7%
Missing15240
Missing (%)76.2%
Infinite0
Infinite (%)0.0%
Mean2.232431723
Minimum0.5
Maximum22.25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:59.473324image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile0.84
Q11.24
median1.7
Q32.5
95-th percentile5.33075
Maximum22.25
Range21.75
Interquartile range (IQR)1.26

Descriptive statistics

Standard deviation1.83628181
Coefficient of variation (CV)0.8225478033
Kurtosis22.78210679
Mean2.232431723
Median Absolute Deviation (MAD)0.55
Skewness3.919380805
Sum10626.375
Variance3.371930884
MonotonicityNot monotonic
2021-11-29T11:31:59.564576image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1.145
 
0.2%
1.241
 
0.2%
1.438
 
0.2%
1.336
 
0.2%
134
 
0.2%
0.930
 
0.1%
1.530
 
0.1%
1.0829
 
0.1%
1.4229
 
0.1%
1.3529
 
0.1%
Other values (1072)4419
 
22.1%
(Missing)15240
76.2%
ValueCountFrequency (%)
0.54
< 0.1%
0.541
 
< 0.1%
0.551
 
< 0.1%
0.562
 
< 0.1%
0.574
< 0.1%
0.591
 
< 0.1%
0.68
< 0.1%
0.612
 
< 0.1%
0.6151
 
< 0.1%
0.621
 
< 0.1%
ValueCountFrequency (%)
22.251
< 0.1%
19.3451
< 0.1%
19.121
< 0.1%
17.751
< 0.1%
17.421
< 0.1%
16.971
< 0.1%
16.961
< 0.1%
16.8951
< 0.1%
161
< 0.1%
15.941
< 0.1%

Magnesium-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct516
Distinct (%)3.1%
Missing3543
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean2.024972919
Minimum0.5
Maximum8.042857143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:59.659281image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile1.6
Q11.85
median2
Q32.166666667
95-th percentile2.5
Maximum8.042857143
Range7.542857143
Interquartile range (IQR)0.3166666667

Descriptive statistics

Standard deviation0.3178351334
Coefficient of variation (CV)0.1569577205
Kurtosis25.3527359
Mean2.024972919
Median Absolute Deviation (MAD)0.15
Skewness2.493858888
Sum33324.97932
Variance0.101019172
MonotonicityNot monotonic
2021-11-29T11:31:59.837047image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21719
 
8.6%
1.91412
 
7.1%
2.11361
 
6.8%
1.81126
 
5.6%
2.2848
 
4.2%
1.7721
 
3.6%
2.3569
 
2.8%
2.05532
 
2.7%
1.85425
 
2.1%
1.95418
 
2.1%
Other values (506)7326
36.6%
(Missing)3543
17.7%
ValueCountFrequency (%)
0.51
 
< 0.1%
0.651
 
< 0.1%
0.92
 
< 0.1%
15
 
< 0.1%
1.051
 
< 0.1%
1.115
0.1%
1.152
 
< 0.1%
1.228
0.1%
1.21
 
< 0.1%
1.2333333331
 
< 0.1%
ValueCountFrequency (%)
8.0428571431
< 0.1%
7.2666666671
< 0.1%
6.351
< 0.1%
6.21
< 0.1%
6.0333333331
< 0.1%
5.341
< 0.1%
5.31
< 0.1%
5.0666666671
< 0.1%
51
< 0.1%
4.9166666671
< 0.1%

Magnesium-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct117
Distinct (%)0.7%
Missing3543
Missing (%)17.7%
Infinite0
Infinite (%)0.0%
Mean2.024313362
Minimum0.5
Maximum8.4
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:31:59.937218image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.5
5-th percentile1.6
Q11.85
median2
Q32.2
95-th percentile2.5
Maximum8.4
Range7.9
Interquartile range (IQR)0.35

Descriptive statistics

Standard deviation0.3229414811
Coefficient of variation (CV)0.1595313686
Kurtosis25.67020394
Mean2.024313362
Median Absolute Deviation (MAD)0.15
Skewness2.517298682
Sum33314.125
Variance0.1042912002
MonotonicityNot monotonic
2021-11-29T11:32:00.035146image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22241
11.2%
1.91917
9.6%
2.11816
 
9.1%
1.81350
 
6.8%
2.21276
 
6.4%
1.7859
 
4.3%
2.3836
 
4.2%
2.05613
 
3.1%
1.6505
 
2.5%
1.95466
 
2.3%
Other values (107)4578
22.9%
(Missing)3543
17.7%
ValueCountFrequency (%)
0.51
 
< 0.1%
0.651
 
< 0.1%
0.92
 
< 0.1%
15
 
< 0.1%
1.051
 
< 0.1%
1.117
0.1%
1.152
 
< 0.1%
1.230
0.1%
1.21
 
< 0.1%
1.254
 
< 0.1%
ValueCountFrequency (%)
8.41
< 0.1%
7.11
< 0.1%
6.351
< 0.1%
6.21
< 0.1%
5.71
< 0.1%
5.41
< 0.1%
5.31
< 0.1%
5.21
< 0.1%
5.151
< 0.1%
51
< 0.1%

Phosphate-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct823
Distinct (%)7.1%
Missing8365
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean3.519953026
Minimum0.6
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:00.137640image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile2
Q12.75
median3.3
Q34
95-th percentile5.85
Maximum12
Range11.4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.240452874
Coefficient of variation (CV)0.3524060876
Kurtosis5.718643859
Mean3.519953026
Median Absolute Deviation (MAD)0.6
Skewness1.737128628
Sum40954.65345
Variance1.538723333
MonotonicityNot monotonic
2021-11-29T11:32:00.239671image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3354
 
1.8%
3.5350
 
1.8%
3.4347
 
1.7%
3.2337
 
1.7%
3.3321
 
1.6%
3.1315
 
1.6%
2.9314
 
1.6%
2.8287
 
1.4%
3.6279
 
1.4%
3.7271
 
1.4%
Other values (813)8460
42.3%
(Missing)8365
41.8%
ValueCountFrequency (%)
0.63
 
< 0.1%
0.651
 
< 0.1%
0.71
 
< 0.1%
0.87
< 0.1%
0.852
 
< 0.1%
0.881
 
< 0.1%
0.91
 
< 0.1%
113
0.1%
1.0333333331
 
< 0.1%
1.16
< 0.1%
ValueCountFrequency (%)
126
< 0.1%
11.851
 
< 0.1%
11.81
 
< 0.1%
11.61
 
< 0.1%
11.51
 
< 0.1%
11.42
 
< 0.1%
11.31
 
< 0.1%
11.21
 
< 0.1%
11.133333331
 
< 0.1%
111
 
< 0.1%

Phosphate-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct284
Distinct (%)2.4%
Missing8365
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean3.51783627
Minimum0.6
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:00.336392image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.6
5-th percentile2
Q12.75
median3.3
Q34
95-th percentile5.9
Maximum12
Range11.4
Interquartile range (IQR)1.25

Descriptive statistics

Standard deviation1.251250763
Coefficient of variation (CV)0.3556876066
Kurtosis5.73622451
Mean3.51783627
Median Absolute Deviation (MAD)0.6
Skewness1.725705724
Sum40930.025
Variance1.565628473
MonotonicityNot monotonic
2021-11-29T11:32:00.438695image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3.2407
 
2.0%
3.5395
 
2.0%
3394
 
2.0%
3.3392
 
2.0%
3.4390
 
1.9%
2.9368
 
1.8%
2.8364
 
1.8%
3.1351
 
1.8%
3.7328
 
1.6%
2.7327
 
1.6%
Other values (274)7919
39.6%
(Missing)8365
41.8%
ValueCountFrequency (%)
0.64
 
< 0.1%
0.651
 
< 0.1%
0.72
 
< 0.1%
0.751
 
< 0.1%
0.87
< 0.1%
0.851
 
< 0.1%
0.92
 
< 0.1%
116
0.1%
1.110
0.1%
1.214
0.1%
ValueCountFrequency (%)
127
< 0.1%
11.851
 
< 0.1%
11.81
 
< 0.1%
11.61
 
< 0.1%
11.51
 
< 0.1%
11.42
 
< 0.1%
11.31
 
< 0.1%
11.21
 
< 0.1%
111
 
< 0.1%
10.91
 
< 0.1%

Potassium-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2065
Distinct (%)11.1%
Missing1434
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean4.053526956
Minimum1.825
Maximum9.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:00.539219image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.825
5-th percentile3.366666667
Q13.75
median4
Q34.3
95-th percentile4.928961039
Maximum9.8
Range7.975
Interquartile range (IQR)0.55

Descriptive statistics

Standard deviation0.5033147111
Coefficient of variation (CV)0.124167106
Kurtosis7.23620474
Mean4.053526956
Median Absolute Deviation (MAD)0.2872115385
Skewness1.397132282
Sum75257.78146
Variance0.2533256984
MonotonicityNot monotonic
2021-11-29T11:32:00.639012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4966
 
4.8%
3.9857
 
4.3%
3.8768
 
3.8%
4.1765
 
3.8%
3.7645
 
3.2%
4.2562
 
2.8%
3.6542
 
2.7%
4.3474
 
2.4%
3.5436
 
2.2%
4.4383
 
1.9%
Other values (2055)12168
60.8%
(Missing)1434
 
7.2%
ValueCountFrequency (%)
1.8251
 
< 0.1%
2.33
< 0.1%
2.3251
 
< 0.1%
2.41
 
< 0.1%
2.481
 
< 0.1%
2.52
< 0.1%
2.5333333331
 
< 0.1%
2.553
< 0.1%
2.5666666671
 
< 0.1%
2.63
< 0.1%
ValueCountFrequency (%)
9.81
 
< 0.1%
9.42
< 0.1%
9.22
< 0.1%
8.4751
 
< 0.1%
8.21
 
< 0.1%
7.91
 
< 0.1%
7.81
 
< 0.1%
7.63
< 0.1%
7.5951
 
< 0.1%
7.41
 
< 0.1%

Potassium-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct451
Distinct (%)2.4%
Missing1434
Missing (%)7.2%
Infinite0
Infinite (%)0.0%
Mean4.045369493
Minimum1.575
Maximum9.8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:00.744363image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum1.575
5-th percentile3.35
Q13.7
median4
Q34.3
95-th percentile4.9
Maximum9.8
Range8.225
Interquartile range (IQR)0.6

Descriptive statistics

Standard deviation0.5023039386
Coefficient of variation (CV)0.1241676291
Kurtosis6.93451772
Mean4.045369493
Median Absolute Deviation (MAD)0.3
Skewness1.326775252
Sum75106.33
Variance0.2523092467
MonotonicityNot monotonic
2021-11-29T11:32:00.838391image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41399
 
7.0%
3.91289
 
6.4%
3.81273
 
6.4%
4.11258
 
6.3%
3.71095
 
5.5%
4.2881
 
4.4%
3.6803
 
4.0%
4.3720
 
3.6%
4.4645
 
3.2%
3.5613
 
3.1%
Other values (441)8590
43.0%
(Missing)1434
 
7.2%
ValueCountFrequency (%)
1.5751
 
< 0.1%
2.252
 
< 0.1%
2.32
 
< 0.1%
2.351
 
< 0.1%
2.41
 
< 0.1%
2.57
< 0.1%
2.552
 
< 0.1%
2.68
< 0.1%
2.651
 
< 0.1%
2.712
0.1%
ValueCountFrequency (%)
9.81
 
< 0.1%
9.42
< 0.1%
9.22
< 0.1%
8.21
 
< 0.1%
7.91
 
< 0.1%
7.81
 
< 0.1%
7.63
< 0.1%
7.5951
 
< 0.1%
7.41
 
< 0.1%
7.351
 
< 0.1%

Bilirubin_total-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct556
Distinct (%)6.6%
Missing11522
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean1.254390975
Minimum0.1
Maximum49.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:00.933918image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.3
Q10.5
median0.8
Q31.2
95-th percentile3.121964286
Maximum49.2
Range49.1
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation2.316173178
Coefficient of variation (CV)1.846452361
Kurtosis121.4421744
Mean1.254390975
Median Absolute Deviation (MAD)0.3
Skewness9.514188877
Sum10634.72669
Variance5.364658191
MonotonicityNot monotonic
2021-11-29T11:32:01.033504image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6739
 
3.7%
0.5734
 
3.7%
0.7688
 
3.4%
0.4653
 
3.3%
0.8561
 
2.8%
0.9470
 
2.4%
1379
 
1.9%
0.3359
 
1.8%
1.1281
 
1.4%
1.2219
 
1.1%
Other values (546)3395
 
17.0%
(Missing)11522
57.6%
ValueCountFrequency (%)
0.130
 
0.1%
0.13333333331
 
< 0.1%
0.151
 
< 0.1%
0.152
 
< 0.1%
0.21
 
< 0.1%
0.2150
0.8%
0.23333333331
 
< 0.1%
0.2519
 
0.1%
0.26666666672
 
< 0.1%
0.2751
 
< 0.1%
ValueCountFrequency (%)
49.21
< 0.1%
45.433333331
< 0.1%
41.61
< 0.1%
39.241
< 0.1%
36.851
< 0.1%
35.51
< 0.1%
35.41
< 0.1%
34.651
< 0.1%
30.9251
< 0.1%
29.41
< 0.1%

Bilirubin_total-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct286
Distinct (%)3.4%
Missing11522
Missing (%)57.6%
Infinite0
Infinite (%)0.0%
Mean1.249097665
Minimum0.1
Maximum49.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:01.129848image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile0.3
Q10.5
median0.8
Q31.2
95-th percentile3.1
Maximum49.2
Range49.1
Interquartile range (IQR)0.7

Descriptive statistics

Standard deviation2.329118511
Coefficient of variation (CV)1.864640834
Kurtosis126.2752191
Mean1.249097665
Median Absolute Deviation (MAD)0.3
Skewness9.704517087
Sum10589.85
Variance5.42479304
MonotonicityNot monotonic
2021-11-29T11:32:01.228751image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.6794
 
4.0%
0.5779
 
3.9%
0.7760
 
3.8%
0.4693
 
3.5%
0.8623
 
3.1%
0.9504
 
2.5%
1409
 
2.0%
0.3374
 
1.9%
1.1320
 
1.6%
1.2254
 
1.3%
Other values (276)2968
 
14.8%
(Missing)11522
57.6%
ValueCountFrequency (%)
0.132
 
0.2%
0.151
 
< 0.1%
0.152
 
< 0.1%
0.2153
 
0.8%
0.2519
 
0.1%
0.3374
1.9%
0.314
 
0.1%
0.3553
 
0.3%
0.4693
3.5%
0.4251
 
< 0.1%
ValueCountFrequency (%)
49.21
< 0.1%
46.41
< 0.1%
43.31
< 0.1%
41.61
< 0.1%
36.851
< 0.1%
36.451
< 0.1%
35.41
< 0.1%
34.651
< 0.1%
31.21
< 0.1%
30.21
< 0.1%

TroponinI-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1916
Distinct (%)29.2%
Missing13436
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean5.111238634
Minimum0.01
Maximum409.6833333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:01.414255image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.01
Q10.03
median0.08
Q30.8
95-th percentile31.83739286
Maximum409.6833333
Range409.6733333
Interquartile range (IQR)0.77

Descriptive statistics

Standard deviation19.08923165
Coefficient of variation (CV)3.734756488
Kurtosis77.5875291
Mean5.111238634
Median Absolute Deviation (MAD)0.07
Skewness7.324340532
Sum33550.17039
Variance364.3987648
MonotonicityNot monotonic
2021-11-29T11:32:01.507472image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.011209
 
6.0%
0.03775
 
3.9%
0.02275
 
1.4%
0.04237
 
1.2%
0.05135
 
0.7%
0.07113
 
0.6%
0.06113
 
0.6%
0.0878
 
0.4%
0.0974
 
0.4%
0.156
 
0.3%
Other values (1906)3499
 
17.5%
(Missing)13436
67.2%
ValueCountFrequency (%)
0.011209
6.0%
0.011428571431
 
< 0.1%
0.0124
 
< 0.1%
0.01251
 
< 0.1%
0.0133333333315
 
0.1%
0.0142
 
< 0.1%
0.01554
 
0.3%
0.016666666679
 
< 0.1%
0.017142857141
 
< 0.1%
0.01751
 
< 0.1%
ValueCountFrequency (%)
409.68333331
 
< 0.1%
298.831
 
< 0.1%
219.2851
 
< 0.1%
2005
< 0.1%
187.85333331
 
< 0.1%
187.85251
 
< 0.1%
183.51
 
< 0.1%
181.66333331
 
< 0.1%
180.081
 
< 0.1%
177.63251
 
< 0.1%

TroponinI-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1372
Distinct (%)20.9%
Missing13436
Missing (%)67.2%
Infinite0
Infinite (%)0.0%
Mean5.093911487
Minimum0.01
Maximum440
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:01.606191image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.01
5-th percentile0.01
Q10.03
median0.075
Q30.8
95-th percentile32.0455
Maximum440
Range439.99
Interquartile range (IQR)0.77

Descriptive statistics

Standard deviation19.44571104
Coefficient of variation (CV)3.81744188
Kurtosis88.01086808
Mean5.093911487
Median Absolute Deviation (MAD)0.065
Skewness7.757148428
Sum33436.435
Variance378.135678
MonotonicityNot monotonic
2021-11-29T11:32:01.699702image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.011238
 
6.2%
0.03805
 
4.0%
0.02290
 
1.5%
0.04256
 
1.3%
0.05176
 
0.9%
0.06144
 
0.7%
0.07134
 
0.7%
0.08100
 
0.5%
0.0995
 
0.5%
0.181
 
0.4%
Other values (1362)3245
 
16.2%
(Missing)13436
67.2%
ValueCountFrequency (%)
0.011238
6.2%
0.01552
 
0.3%
0.02290
 
1.5%
0.02533
 
0.2%
0.03805
4.0%
0.033
 
< 0.1%
0.0351
 
< 0.1%
0.03527
 
0.1%
0.04256
 
1.3%
0.04536
 
0.2%
ValueCountFrequency (%)
4401
 
< 0.1%
297.051
 
< 0.1%
20012
0.1%
199.531
 
< 0.1%
194.0951
 
< 0.1%
193.441
 
< 0.1%
190.041
 
< 0.1%
185.2151
 
< 0.1%
183.51
 
< 0.1%
180.081
 
< 0.1%

Hct-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2935
Distinct (%)16.3%
Missing1953
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean32.49811369
Minimum9.3
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:01.796822image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum9.3
5-th percentile23.13333333
Q127.63333333
median32.3
Q336.95
95-th percentile42.9
Maximum65
Range55.7
Interquartile range (IQR)9.316666667

Descriptive statistics

Standard deviation6.18521518
Coefficient of variation (CV)0.1903253598
Kurtosis-0.2909080435
Mean32.49811369
Median Absolute Deviation (MAD)4.65
Skewness0.2744730185
Sum586493.4577
Variance38.25688683
MonotonicityNot monotonic
2021-11-29T11:32:01.888355image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33.582
 
0.4%
3478
 
0.4%
35.572
 
0.4%
3570
 
0.4%
29.570
 
0.4%
33.369
 
0.3%
34.668
 
0.3%
3767
 
0.3%
3366
 
0.3%
34.266
 
0.3%
Other values (2925)17339
86.7%
(Missing)1953
 
9.8%
ValueCountFrequency (%)
9.31
< 0.1%
12.61
< 0.1%
13.31
< 0.1%
13.551
< 0.1%
14.61
< 0.1%
15.51
< 0.1%
161
< 0.1%
16.71
< 0.1%
16.933333331
< 0.1%
17.251
< 0.1%
ValueCountFrequency (%)
651
< 0.1%
64.21
< 0.1%
64.11
< 0.1%
59.851
< 0.1%
59.81
< 0.1%
58.151
< 0.1%
57.166666671
< 0.1%
56.31
< 0.1%
55.7251
< 0.1%
55.61
< 0.1%

Hct-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct917
Distinct (%)5.1%
Missing1953
Missing (%)9.8%
Infinite0
Infinite (%)0.0%
Mean32.49576135
Minimum9.3
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:01.985920image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum9.3
5-th percentile23.1
Q127.65
median32.3
Q336.95
95-th percentile42.885
Maximum65
Range55.7
Interquartile range (IQR)9.3

Descriptive statistics

Standard deviation6.19351436
Coefficient of variation (CV)0.19059453
Kurtosis-0.2796348538
Mean32.49576135
Median Absolute Deviation (MAD)4.65
Skewness0.2665834415
Sum586451.005
Variance38.35962013
MonotonicityNot monotonic
2021-11-29T11:32:02.079609image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35103
 
0.5%
33.5101
 
0.5%
3496
 
0.5%
35.595
 
0.5%
33.386
 
0.4%
29.686
 
0.4%
34.285
 
0.4%
33.285
 
0.4%
31.585
 
0.4%
30.184
 
0.4%
Other values (907)17141
85.7%
(Missing)1953
 
9.8%
ValueCountFrequency (%)
9.31
< 0.1%
11.31
< 0.1%
13.31
< 0.1%
13.551
< 0.1%
14.61
< 0.1%
15.51
< 0.1%
15.751
< 0.1%
161
< 0.1%
16.31
< 0.1%
16.61
< 0.1%
ValueCountFrequency (%)
651
< 0.1%
64.21
< 0.1%
64.11
< 0.1%
59.851
< 0.1%
59.61
< 0.1%
58.151
< 0.1%
57.11
< 0.1%
56.31
< 0.1%
55.61
< 0.1%
55.21
< 0.1%

Hgb-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1676
Distinct (%)9.3%
Missing1941
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean10.67069996
Minimum2.6
Maximum26.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:02.175313image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile7.55
Q18.981666667
median10.5
Q312.2
95-th percentile14.4
Maximum26.6
Range24
Interquartile range (IQR)3.218333333

Descriptive statistics

Standard deviation2.145317107
Coefficient of variation (CV)0.2010474585
Kurtosis0.3100678804
Mean10.67069996
Median Absolute Deviation (MAD)1.6
Skewness0.4759499628
Sum192702.1706
Variance4.602385491
MonotonicityNot monotonic
2021-11-29T11:32:02.272717image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.3199
 
1.0%
10.5189
 
0.9%
11.2182
 
0.9%
11181
 
0.9%
10.6173
 
0.9%
9.5172
 
0.9%
11.8171
 
0.9%
11.7169
 
0.8%
11.5165
 
0.8%
10.9165
 
0.8%
Other values (1666)16293
81.5%
(Missing)1941
 
9.7%
ValueCountFrequency (%)
2.61
< 0.1%
41
< 0.1%
4.31
< 0.1%
4.51
< 0.1%
4.81
< 0.1%
4.91
< 0.1%
51
< 0.1%
5.11
< 0.1%
5.1333333331
< 0.1%
5.2333333331
< 0.1%
ValueCountFrequency (%)
26.61
< 0.1%
24.82
< 0.1%
23.81
< 0.1%
23.51
< 0.1%
22.51
< 0.1%
21.61
< 0.1%
21.21
< 0.1%
211
< 0.1%
20.61
< 0.1%
20.551
< 0.1%

Hgb-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct398
Distinct (%)2.2%
Missing1941
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean10.6649042
Minimum2.6
Maximum26.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:02.367793image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum2.6
5-th percentile7.55
Q19
median10.5
Q312.15
95-th percentile14.4
Maximum26.6
Range24
Interquartile range (IQR)3.15

Descriptive statistics

Standard deviation2.147157958
Coefficient of variation (CV)0.2013293244
Kurtosis0.3215379227
Mean10.6649042
Median Absolute Deviation (MAD)1.6
Skewness0.4779463755
Sum192597.505
Variance4.610287296
MonotonicityNot monotonic
2021-11-29T11:32:02.465420image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11.3259
 
1.3%
10.8247
 
1.2%
9.3246
 
1.2%
10.5232
 
1.2%
9.5231
 
1.2%
9.2231
 
1.2%
8.5230
 
1.1%
10.6227
 
1.1%
11226
 
1.1%
10.3226
 
1.1%
Other values (388)15704
78.5%
(Missing)1941
 
9.7%
ValueCountFrequency (%)
2.61
< 0.1%
41
< 0.1%
4.31
< 0.1%
4.51
< 0.1%
4.81
< 0.1%
4.91
< 0.1%
51
< 0.1%
5.11
< 0.1%
5.22
< 0.1%
5.351
< 0.1%
ValueCountFrequency (%)
26.61
< 0.1%
24.82
< 0.1%
23.81
< 0.1%
23.51
< 0.1%
22.51
< 0.1%
21.61
< 0.1%
21.21
< 0.1%
211
< 0.1%
20.61
< 0.1%
20.551
< 0.1%

PTT-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1291
Distinct (%)29.4%
Missing15602
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean39.51081585
Minimum20
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:02.560276image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile24
Q128.1
median31.56071429
Q338.2
95-th percentile84.2
Maximum250
Range230
Interquartile range (IQR)10.1

Descriptive statistics

Standard deviation26.94099795
Coefficient of variation (CV)0.6818638737
Kurtosis24.01269074
Mean39.51081585
Median Absolute Deviation (MAD)4.260714286
Skewness4.399903085
Sum173768.5681
Variance725.8173705
MonotonicityNot monotonic
2021-11-29T11:32:02.657114image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2837
 
0.2%
30.735
 
0.2%
27.335
 
0.2%
28.634
 
0.2%
28.934
 
0.2%
28.733
 
0.2%
29.533
 
0.2%
28.533
 
0.2%
30.432
 
0.2%
28.831
 
0.2%
Other values (1281)4061
 
20.3%
(Missing)15602
78.0%
ValueCountFrequency (%)
2021
0.1%
20.13
 
< 0.1%
20.31
 
< 0.1%
20.43
 
< 0.1%
20.52
 
< 0.1%
20.62
 
< 0.1%
20.71
 
< 0.1%
20.84
 
< 0.1%
20.95
 
< 0.1%
214
 
< 0.1%
ValueCountFrequency (%)
2503
 
< 0.1%
249.94
 
< 0.1%
24912
0.1%
237.51
 
< 0.1%
234.351
 
< 0.1%
212.71666671
 
< 0.1%
212.31
 
< 0.1%
2061
 
< 0.1%
204.91
 
< 0.1%
203.41251
 
< 0.1%

PTT-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct925
Distinct (%)21.0%
Missing15602
Missing (%)78.0%
Infinite0
Infinite (%)0.0%
Mean38.87937131
Minimum20
Maximum250
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:02.750969image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum20
5-th percentile24
Q128.05
median31.4125
Q337.6
95-th percentile79.765
Maximum250
Range230
Interquartile range (IQR)9.55

Descriptive statistics

Standard deviation26.84004152
Coefficient of variation (CV)0.6903414489
Kurtosis28.13037137
Mean38.87937131
Median Absolute Deviation (MAD)4.1125
Skewness4.797294311
Sum170991.475
Variance720.3878287
MonotonicityNot monotonic
2021-11-29T11:32:02.933424image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28.938
 
0.2%
28.637
 
0.2%
27.337
 
0.2%
30.436
 
0.2%
30.835
 
0.2%
30.735
 
0.2%
2835
 
0.2%
29.535
 
0.2%
28.834
 
0.2%
29.634
 
0.2%
Other values (915)4042
 
20.2%
(Missing)15602
78.0%
ValueCountFrequency (%)
2021
0.1%
20.13
 
< 0.1%
20.31
 
< 0.1%
20.43
 
< 0.1%
20.52
 
< 0.1%
20.62
 
< 0.1%
20.71
 
< 0.1%
20.84
 
< 0.1%
20.96
 
< 0.1%
214
 
< 0.1%
ValueCountFrequency (%)
2503
 
< 0.1%
249.95
 
< 0.1%
24916
0.1%
237.51
 
< 0.1%
235.51
 
< 0.1%
224.41
 
< 0.1%
212.31
 
< 0.1%
210.61
 
< 0.1%
2061
 
< 0.1%
204.91
 
< 0.1%

WBC-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2359
Distinct (%)13.1%
Missing2000
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean10.31449188
Minimum0.1
Maximum328.3666667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:03.030519image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile4.4
Q17.05
median9.45
Q312.35
95-th percentile18.5
Maximum328.3666667
Range328.2666667
Interquartile range (IQR)5.3

Descriptive statistics

Standard deviation6.47318033
Coefficient of variation (CV)0.6275811167
Kurtosis495.4497009
Mean10.31449188
Median Absolute Deviation (MAD)2.616666667
Skewness14.65031786
Sum185660.8538
Variance41.90206358
MonotonicityNot monotonic
2021-11-29T11:32:03.125270image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.8135
 
0.7%
7.4124
 
0.6%
7120
 
0.6%
7.5118
 
0.6%
8.2117
 
0.6%
7.6117
 
0.6%
9.4116
 
0.6%
7.2116
 
0.6%
8116
 
0.6%
8.6116
 
0.6%
Other values (2349)16805
84.0%
(Missing)2000
 
10.0%
ValueCountFrequency (%)
0.16
< 0.1%
0.13
< 0.1%
0.16666666671
 
< 0.1%
0.22
 
< 0.1%
0.33
< 0.1%
0.31
 
< 0.1%
0.45
< 0.1%
0.43333333331
 
< 0.1%
0.51
 
< 0.1%
0.62
 
< 0.1%
ValueCountFrequency (%)
328.36666671
< 0.1%
200.81
< 0.1%
186.1251
< 0.1%
168.121
< 0.1%
163.561
< 0.1%
152.91
< 0.1%
144.91
< 0.1%
142.21
< 0.1%
136.91
< 0.1%
131.03333331
< 0.1%

WBC-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct868
Distinct (%)4.8%
Missing2000
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean10.27482528
Minimum0.1
Maximum302
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:03.225372image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0.1
5-th percentile4.4
Q17
median9.4
Q312.3
95-th percentile18.5
Maximum302
Range301.9
Interquartile range (IQR)5.3

Descriptive statistics

Standard deviation6.378892202
Coefficient of variation (CV)0.6208273162
Kurtosis412.8860134
Mean10.27482528
Median Absolute Deviation (MAD)2.6
Skewness13.38156119
Sum184946.855
Variance40.69026572
MonotonicityNot monotonic
2021-11-29T11:32:03.319721image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8.8188
 
0.9%
7.4170
 
0.9%
9.8165
 
0.8%
10161
 
0.8%
8.6159
 
0.8%
7.6152
 
0.8%
8151
 
0.8%
7.1150
 
0.8%
8.2149
 
0.7%
8.4148
 
0.7%
Other values (858)16407
82.0%
(Missing)2000
 
10.0%
ValueCountFrequency (%)
0.110
0.1%
0.23
 
< 0.1%
0.33
 
< 0.1%
0.31
 
< 0.1%
0.46
< 0.1%
0.51
 
< 0.1%
0.62
 
< 0.1%
0.751
 
< 0.1%
0.84
 
< 0.1%
0.91
 
< 0.1%
ValueCountFrequency (%)
3021
< 0.1%
200.81
< 0.1%
179.21
< 0.1%
165.11
< 0.1%
152.91
< 0.1%
144.91
< 0.1%
1431
< 0.1%
142.21
< 0.1%
136.91
< 0.1%
135.61
< 0.1%

Fibrinogen-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct955
Distinct (%)49.0%
Missing18052
Missing (%)90.3%
Infinite0
Infinite (%)0.0%
Mean294.67792
Minimum35
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:03.422278image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile136.21
Q1202
median260.1666667
Q3349.625
95-th percentile583.65
Maximum1000
Range965
Interquartile range (IQR)147.625

Descriptive statistics

Standard deviation142.6140188
Coefficient of variation (CV)0.483965744
Kurtosis3.77128363
Mean294.67792
Median Absolute Deviation (MAD)68.44047619
Skewness1.660304846
Sum574032.5881
Variance20338.75835
MonotonicityNot monotonic
2021-11-29T11:32:03.523205image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21718
 
0.1%
23012
 
0.1%
20012
 
0.1%
20311
 
0.1%
21910
 
0.1%
20810
 
0.1%
21510
 
0.1%
23210
 
0.1%
2849
 
< 0.1%
2349
 
< 0.1%
Other values (945)1837
 
9.2%
(Missing)18052
90.3%
ValueCountFrequency (%)
351
< 0.1%
55.51
< 0.1%
56.51
< 0.1%
59.51
< 0.1%
611
< 0.1%
641
< 0.1%
651
< 0.1%
67.333333331
< 0.1%
701
< 0.1%
711
< 0.1%
ValueCountFrequency (%)
10006
< 0.1%
9541
 
< 0.1%
9451
 
< 0.1%
9191
 
< 0.1%
9121
 
< 0.1%
8881
 
< 0.1%
8821
 
< 0.1%
8781
 
< 0.1%
871.83333331
 
< 0.1%
8671
 
< 0.1%

Fibrinogen-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct674
Distinct (%)34.6%
Missing18052
Missing (%)90.3%
Infinite0
Infinite (%)0.0%
Mean293.2234343
Minimum35
Maximum1000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:03.623730image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum35
5-th percentile133
Q1200
median258
Q3346.625
95-th percentile582.325
Maximum1000
Range965
Interquartile range (IQR)146.625

Descriptive statistics

Standard deviation143.5018304
Coefficient of variation (CV)0.4893941398
Kurtosis3.760735246
Mean293.2234343
Median Absolute Deviation (MAD)69.75
Skewness1.657971955
Sum571199.25
Variance20592.77533
MonotonicityNot monotonic
2021-11-29T11:32:03.724879image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21718
 
0.1%
23015
 
0.1%
21514
 
0.1%
20013
 
0.1%
21912
 
0.1%
24711
 
0.1%
19011
 
0.1%
20811
 
0.1%
15411
 
0.1%
25011
 
0.1%
Other values (664)1821
 
9.1%
(Missing)18052
90.3%
ValueCountFrequency (%)
351
< 0.1%
55.51
< 0.1%
56.51
< 0.1%
59.51
< 0.1%
601
< 0.1%
612
< 0.1%
621
< 0.1%
641
< 0.1%
651
< 0.1%
701
< 0.1%
ValueCountFrequency (%)
10006
< 0.1%
9541
 
< 0.1%
9451
 
< 0.1%
9191
 
< 0.1%
9121
 
< 0.1%
8881
 
< 0.1%
884.51
 
< 0.1%
8821
 
< 0.1%
8781
 
< 0.1%
8671
 
< 0.1%

Platelets-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2817
Distinct (%)15.6%
Missing1992
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean201.0262893
Minimum4
Maximum2322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:03.823245image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile78.84791667
Q1139.5
median189
Q3248
95-th percentile360.5
Maximum2322
Range2318
Interquartile range (IQR)108.5

Descriptive statistics

Standard deviation92.86094032
Coefficient of variation (CV)0.4619343105
Kurtosis19.09495413
Mean201.0262893
Median Absolute Deviation (MAD)54
Skewness1.932377351
Sum3620081.417
Variance8623.154238
MonotonicityNot monotonic
2021-11-29T11:32:03.921047image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20677
 
0.4%
18274
 
0.4%
15871
 
0.4%
18670
 
0.4%
16268
 
0.3%
16767
 
0.3%
16867
 
0.3%
20066
 
0.3%
17366
 
0.3%
16566
 
0.3%
Other values (2807)17316
86.6%
(Missing)1992
 
10.0%
ValueCountFrequency (%)
42
< 0.1%
4.52
< 0.1%
53
< 0.1%
72
< 0.1%
81
 
< 0.1%
101
 
< 0.1%
113
< 0.1%
11.333333331
 
< 0.1%
11.51
 
< 0.1%
11.751
 
< 0.1%
ValueCountFrequency (%)
23221
< 0.1%
1022.6666671
< 0.1%
893.51
< 0.1%
876.66666671
< 0.1%
876.251
< 0.1%
848.66666671
< 0.1%
8382
< 0.1%
8311
< 0.1%
8291
< 0.1%
8221
< 0.1%

Platelets-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct1065
Distinct (%)5.9%
Missing1992
Missing (%)10.0%
Infinite0
Infinite (%)0.0%
Mean200.6354953
Minimum3
Maximum2322
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:04.019036image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile77.5
Q1139
median189
Q3247.625
95-th percentile360.5
Maximum2322
Range2319
Interquartile range (IQR)108.625

Descriptive statistics

Standard deviation93.09205897
Coefficient of variation (CV)0.4639859902
Kurtosis18.94566391
Mean200.6354953
Median Absolute Deviation (MAD)54
Skewness1.921419293
Sum3613044
Variance8666.131443
MonotonicityNot monotonic
2021-11-29T11:32:04.116761image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20689
 
0.4%
18687
 
0.4%
15885
 
0.4%
14185
 
0.4%
17383
 
0.4%
18783
 
0.4%
18283
 
0.4%
16882
 
0.4%
16781
 
0.4%
16580
 
0.4%
Other values (1055)17170
85.9%
(Missing)1992
 
10.0%
ValueCountFrequency (%)
31
< 0.1%
42
< 0.1%
4.52
< 0.1%
52
< 0.1%
5.51
< 0.1%
71
< 0.1%
7.51
< 0.1%
82
< 0.1%
102
< 0.1%
10.51
< 0.1%
ValueCountFrequency (%)
23221
< 0.1%
10081
< 0.1%
9091
< 0.1%
893.51
< 0.1%
8661
< 0.1%
8551
< 0.1%
8541
< 0.1%
8381
< 0.1%
8341
< 0.1%
8311
< 0.1%

Age-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct77
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.6488
Minimum14
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:04.217559image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile30
Q150
median62
Q372
95-th percentile85
Maximum100
Range86
Interquartile range (IQR)22

Descriptive statistics

Standard deviation16.67181022
Coefficient of variation (CV)0.2748910155
Kurtosis-0.1562598942
Mean60.6488
Median Absolute Deviation (MAD)11
Skewness-0.2649819802
Sum1212976
Variance277.949256
MonotonicityNot monotonic
2021-11-29T11:32:04.310800image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67572
 
2.9%
68539
 
2.7%
66512
 
2.6%
65510
 
2.5%
61498
 
2.5%
69495
 
2.5%
71481
 
2.4%
62477
 
2.4%
63470
 
2.4%
70467
 
2.3%
Other values (67)14979
74.9%
ValueCountFrequency (%)
142
 
< 0.1%
152
 
< 0.1%
165
 
< 0.1%
1713
 
0.1%
1832
 
0.2%
1954
0.3%
2065
0.3%
2199
0.5%
2259
0.3%
2377
0.4%
ValueCountFrequency (%)
100392
2.0%
89111
 
0.6%
88138
 
0.7%
87145
 
0.7%
86187
0.9%
85187
0.9%
84206
1.0%
83247
1.2%
82242
1.2%
81224
1.1%

Age-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct77
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.6488
Minimum14
Maximum100
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:04.494486image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile30
Q150
median62
Q372
95-th percentile85
Maximum100
Range86
Interquartile range (IQR)22

Descriptive statistics

Standard deviation16.67181022
Coefficient of variation (CV)0.2748910155
Kurtosis-0.1562598942
Mean60.6488
Median Absolute Deviation (MAD)11
Skewness-0.2649819802
Sum1212976
Variance277.949256
MonotonicityNot monotonic
2021-11-29T11:32:04.586627image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67572
 
2.9%
68539
 
2.7%
66512
 
2.6%
65510
 
2.5%
61498
 
2.5%
69495
 
2.5%
71481
 
2.4%
62477
 
2.4%
63470
 
2.4%
70467
 
2.3%
Other values (67)14979
74.9%
ValueCountFrequency (%)
142
 
< 0.1%
152
 
< 0.1%
165
 
< 0.1%
1713
 
0.1%
1832
 
0.2%
1954
0.3%
2065
0.3%
2199
0.5%
2259
0.3%
2377
0.4%
ValueCountFrequency (%)
100392
2.0%
89111
 
0.6%
88138
 
0.7%
87145
 
0.7%
86187
0.9%
85187
0.9%
84206
1.0%
83247
1.2%
82242
1.2%
81224
1.1%

Gender-mean
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.4 KiB
1.0
10732 
0.0
9268 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters60000
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.010732
53.7%
0.09268
46.3%

Length

2021-11-29T11:32:04.675498image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:32:04.720116image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.010732
53.7%
0.09268
46.3%

Most occurring characters

ValueCountFrequency (%)
029268
48.8%
.20000
33.3%
110732
 
17.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40000
66.7%
Other Punctuation20000
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
029268
73.2%
110732
 
26.8%
Other Punctuation
ValueCountFrequency (%)
.20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common60000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
029268
48.8%
.20000
33.3%
110732
 
17.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
029268
48.8%
.20000
33.3%
110732
 
17.9%

Gender-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.4 KiB
1.0
10732 
0.0
9268 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters60000
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row1.0
3rd row1.0
4th row1.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.010732
53.7%
0.09268
46.3%

Length

2021-11-29T11:32:05.167826image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:32:05.220543image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.010732
53.7%
0.09268
46.3%

Most occurring characters

ValueCountFrequency (%)
029268
48.8%
.20000
33.3%
110732
 
17.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40000
66.7%
Other Punctuation20000
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
029268
73.2%
110732
 
26.8%
Other Punctuation
ValueCountFrequency (%)
.20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common60000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
029268
48.8%
.20000
33.3%
110732
 
17.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
029268
48.8%
.20000
33.3%
110732
 
17.9%

Unit1-mean
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing6095
Missing (%)30.5%
Memory size156.4 KiB
0.0
6982 
1.0
6923 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters41715
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.06982
34.9%
1.06923
34.6%
(Missing)6095
30.5%

Length

2021-11-29T11:32:05.274755image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:32:05.325901image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.06982
50.2%
1.06923
49.8%

Most occurring characters

ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number27810
66.7%
Other Punctuation13905
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
020887
75.1%
16923
 
24.9%
Other Punctuation
ValueCountFrequency (%)
.13905
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common41715
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII41715
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Unit1-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing6095
Missing (%)30.5%
Memory size156.4 KiB
0.0
6982 
1.0
6923 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters41715
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1.0
2nd row0.0
3rd row1.0
4th row1.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.06982
34.9%
1.06923
34.6%
(Missing)6095
30.5%

Length

2021-11-29T11:32:05.380012image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:32:05.431127image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.06982
50.2%
1.06923
49.8%

Most occurring characters

ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number27810
66.7%
Other Punctuation13905
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
020887
75.1%
16923
 
24.9%
Other Punctuation
ValueCountFrequency (%)
.13905
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common41715
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII41715
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
020887
50.1%
.13905
33.3%
16923
 
16.6%

Unit2-mean
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing6095
Missing (%)30.5%
Memory size156.4 KiB
1.0
6982 
0.0
6923 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters41715
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.06982
34.9%
0.06923
34.6%
(Missing)6095
30.5%

Length

2021-11-29T11:32:05.485154image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:32:05.536410image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.06982
50.2%
0.06923
49.8%

Most occurring characters

ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number27810
66.7%
Other Punctuation13905
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
020828
74.9%
16982
 
25.1%
Other Punctuation
ValueCountFrequency (%)
.13905
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common41715
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII41715
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

Unit2-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing6095
Missing (%)30.5%
Memory size156.4 KiB
1.0
6982 
0.0
6923 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters41715
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row1.0
3rd row0.0
4th row0.0
5th row1.0

Common Values

ValueCountFrequency (%)
1.06982
34.9%
0.06923
34.6%
(Missing)6095
30.5%

Length

2021-11-29T11:32:05.590366image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:32:05.641362image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
1.06982
50.2%
0.06923
49.8%

Most occurring characters

ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number27810
66.7%
Other Punctuation13905
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
020828
74.9%
16982
 
25.1%
Other Punctuation
ValueCountFrequency (%)
.13905
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common41715
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII41715
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
020828
49.9%
.13905
33.3%
16982
 
16.7%

HospAdmTime-mean
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct8890
Distinct (%)44.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-55.072586
Minimum-5366.86
Maximum0
Zeros1145
Zeros (%)5.7%
Negative18855
Negative (%)94.3%
Memory size156.4 KiB
2021-11-29T11:32:05.703624image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-5366.86
5-th percentile-244.829
Q1-52.3525
median-8.57
Q3-3.38
95-th percentile0
Maximum0
Range5366.86
Interquartile range (IQR)48.9725

Descriptive statistics

Standard deviation135.5956936
Coefficient of variation (CV)-2.462126867
Kurtosis241.4449376
Mean-55.072586
Median Absolute Deviation (MAD)8.52
Skewness-10.8324003
Sum-1101451.72
Variance18386.19213
MonotonicityNot monotonic
2021-11-29T11:32:05.807330image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01145
 
5.7%
-0.02238
 
1.2%
-0.01170
 
0.9%
-0.03134
 
0.7%
-0.04125
 
0.6%
-0.05104
 
0.5%
-0.0794
 
0.5%
-0.0678
 
0.4%
-0.0970
 
0.4%
-0.0855
 
0.3%
Other values (8880)17787
88.9%
ValueCountFrequency (%)
-5366.861
< 0.1%
-3397.641
< 0.1%
-3342.341
< 0.1%
-3189.391
< 0.1%
-3112.121
< 0.1%
-2929.371
< 0.1%
-2842.111
< 0.1%
-2667.341
< 0.1%
-2384.781
< 0.1%
-2382.341
< 0.1%
ValueCountFrequency (%)
01145
5.7%
-0.016
 
< 0.1%
-0.01170
 
0.9%
-0.013
 
< 0.1%
-0.026
 
< 0.1%
-0.02238
 
1.2%
-0.026
 
< 0.1%
-0.0337
 
0.2%
-0.03134
 
0.7%
-0.0326
 
0.1%

HospAdmTime-median
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct7975
Distinct (%)39.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-55.072586
Minimum-5366.86
Maximum0
Zeros1145
Zeros (%)5.7%
Negative18855
Negative (%)94.3%
Memory size156.4 KiB
2021-11-29T11:32:05.908241image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum-5366.86
5-th percentile-244.829
Q1-52.3525
median-8.57
Q3-3.38
95-th percentile0
Maximum0
Range5366.86
Interquartile range (IQR)48.9725

Descriptive statistics

Standard deviation135.5956936
Coefficient of variation (CV)-2.462126867
Kurtosis241.4449376
Mean-55.072586
Median Absolute Deviation (MAD)8.52
Skewness-10.8324003
Sum-1101451.72
Variance18386.19213
MonotonicityNot monotonic
2021-11-29T11:32:06.012036image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
01145
 
5.7%
-0.02250
 
1.2%
-0.03197
 
1.0%
-0.01179
 
0.9%
-0.04136
 
0.7%
-0.05122
 
0.6%
-0.06105
 
0.5%
-0.0794
 
0.5%
-0.0976
 
0.4%
-0.0859
 
0.3%
Other values (7965)17637
88.2%
ValueCountFrequency (%)
-5366.861
< 0.1%
-3397.641
< 0.1%
-3342.341
< 0.1%
-3189.391
< 0.1%
-3112.121
< 0.1%
-2929.371
< 0.1%
-2842.111
< 0.1%
-2667.341
< 0.1%
-2384.781
< 0.1%
-2382.341
< 0.1%
ValueCountFrequency (%)
01145
5.7%
-0.01179
 
0.9%
-0.02250
 
1.2%
-0.03197
 
1.0%
-0.04136
 
0.7%
-0.05122
 
0.6%
-0.06105
 
0.5%
-0.0794
 
0.5%
-0.0859
 
0.3%
-0.0976
 
0.4%

ICULOS-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct229
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.683325
Minimum4.5
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:06.114704image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.5
5-th percentile7.5
Q112
median20
Q324
95-th percentile29.5
Maximum170
Range165.5
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.64465905
Coefficient of variation (CV)0.5916002021
Kurtosis44.00773376
Mean19.683325
Median Absolute Deviation (MAD)6
Skewness4.964837969
Sum393666.5
Variance135.5980843
MonotonicityNot monotonic
2021-11-29T11:32:06.212732image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20682
 
3.4%
19.5663
 
3.3%
20.5652
 
3.3%
18.5643
 
3.2%
21643
 
3.2%
22608
 
3.0%
21.5594
 
3.0%
19575
 
2.9%
22.5570
 
2.9%
11558
 
2.8%
Other values (219)13812
69.1%
ValueCountFrequency (%)
4.5193
1.0%
5102
 
0.5%
5.5115
 
0.6%
6105
 
0.5%
6.5145
 
0.7%
7176
0.9%
7.5202
1.0%
8294
1.5%
8.5325
1.6%
9375
1.9%
ValueCountFrequency (%)
1701
 
< 0.1%
1691
 
< 0.1%
168.55
< 0.1%
1681
 
< 0.1%
167.51
 
< 0.1%
1641
 
< 0.1%
163.51
 
< 0.1%
160.51
 
< 0.1%
159.51
 
< 0.1%
156.52
 
< 0.1%

ICULOS-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct229
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.683325
Minimum4.5
Maximum170
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:06.316566image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum4.5
5-th percentile7.5
Q112
median20
Q324
95-th percentile29.5
Maximum170
Range165.5
Interquartile range (IQR)12

Descriptive statistics

Standard deviation11.64465905
Coefficient of variation (CV)0.5916002021
Kurtosis44.00773376
Mean19.683325
Median Absolute Deviation (MAD)6
Skewness4.964837969
Sum393666.5
Variance135.5980843
MonotonicityNot monotonic
2021-11-29T11:32:06.508252image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
20682
 
3.4%
19.5663
 
3.3%
20.5652
 
3.3%
18.5643
 
3.2%
21643
 
3.2%
22608
 
3.0%
21.5594
 
3.0%
19575
 
2.9%
22.5570
 
2.9%
11558
 
2.8%
Other values (219)13812
69.1%
ValueCountFrequency (%)
4.5193
1.0%
5102
 
0.5%
5.5115
 
0.6%
6105
 
0.5%
6.5145
 
0.7%
7176
0.9%
7.5202
1.0%
8294
1.5%
8.5325
1.6%
9375
1.9%
ValueCountFrequency (%)
1701
 
< 0.1%
1691
 
< 0.1%
168.55
< 0.1%
1681
 
< 0.1%
167.51
 
< 0.1%
1641
 
< 0.1%
163.51
 
< 0.1%
160.51
 
< 0.1%
159.51
 
< 0.1%
156.52
 
< 0.1%

SepsisLabel-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct295
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.02389112032
Minimum0
Maximum1
Zeros18858
Zeros (%)94.3%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:06.615148image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0.07438016529
Maximum1
Range1
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.1289478231
Coefficient of variation (CV)5.397311693
Kurtosis42.14090161
Mean0.02389112032
Median Absolute Deviation (MAD)0
Skewness6.400592311
Sum477.8224064
Variance0.01662754107
MonotonicityNot monotonic
2021-11-29T11:32:06.717307image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
018858
94.3%
1223
 
1.1%
0.909090909126
 
0.1%
0.833333333319
 
0.1%
0.666666666719
 
0.1%
0.454545454516
 
0.1%
0.769230769214
 
0.1%
0.476190476214
 
0.1%
0.227272727313
 
0.1%
0.62513
 
0.1%
Other values (285)785
 
3.9%
ValueCountFrequency (%)
018858
94.3%
0.0059880239521
 
< 0.1%
0.0063291139241
 
< 0.1%
0.011627906981
 
< 0.1%
0.013793103451
 
< 0.1%
0.017857142861
 
< 0.1%
0.02214022141
 
< 0.1%
0.022222222221
 
< 0.1%
0.026865671641
 
< 0.1%
0.028846153851
 
< 0.1%
ValueCountFrequency (%)
1223
1.1%
0.909090909126
 
0.1%
0.93
 
< 0.1%
0.833333333319
 
0.1%
0.81818181822
 
< 0.1%
0.769230769214
 
0.1%
0.751
 
< 0.1%
0.714285714313
 
0.1%
0.69230769233
 
< 0.1%
0.666666666719
 
0.1%

SepsisLabel-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.4 KiB
0.0
19615 
1.0
 
376
0.5
 
9

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters60000
Distinct characters4
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.019615
98.1%
1.0376
 
1.9%
0.59
 
< 0.1%

Length

2021-11-29T11:32:06.811774image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:32:06.865417image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.019615
98.1%
1.0376
 
1.9%
0.59
 
< 0.1%

Most occurring characters

ValueCountFrequency (%)
039615
66.0%
.20000
33.3%
1376
 
0.6%
59
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40000
66.7%
Other Punctuation20000
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
039615
99.0%
1376
 
0.9%
59
 
< 0.1%
Other Punctuation
ValueCountFrequency (%)
.20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common60000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
039615
66.0%
.20000
33.3%
1376
 
0.6%
59
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
039615
66.0%
.20000
33.3%
1376
 
0.6%
59
 
< 0.1%

Sepsis-mean
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.4 KiB
0.0
18858 
1.0
 
1142

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters60000
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.018858
94.3%
1.01142
 
5.7%

Length

2021-11-29T11:32:06.925559image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:32:06.978373image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.018858
94.3%
1.01142
 
5.7%

Most occurring characters

ValueCountFrequency (%)
038858
64.8%
.20000
33.3%
11142
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40000
66.7%
Other Punctuation20000
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
038858
97.1%
11142
 
2.9%
Other Punctuation
ValueCountFrequency (%)
.20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common60000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
038858
64.8%
.20000
33.3%
11142
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
038858
64.8%
.20000
33.3%
11142
 
1.9%

Sepsis-median
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.4 KiB
0.0
18858 
1.0
 
1142

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters60000
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.018858
94.3%
1.01142
 
5.7%

Length

2021-11-29T11:32:07.034215image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-11-29T11:32:07.087136image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
ValueCountFrequency (%)
0.018858
94.3%
1.01142
 
5.7%

Most occurring characters

ValueCountFrequency (%)
038858
64.8%
.20000
33.3%
11142
 
1.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number40000
66.7%
Other Punctuation20000
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
038858
97.1%
11142
 
2.9%
Other Punctuation
ValueCountFrequency (%)
.20000
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common60000
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
038858
64.8%
.20000
33.3%
11142
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII60000
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
038858
64.8%
.20000
33.3%
11142
 
1.9%

Hours-mean
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct230
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.09975
Minimum8
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:07.150398image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile14
Q123
median38
Q347
95-th percentile58
Maximum336
Range328
Interquartile range (IQR)24

Descriptive statistics

Standard deviation23.27525267
Coefficient of variation (CV)0.6109030287
Kurtosis44.03440685
Mean38.09975
Median Absolute Deviation (MAD)12
Skewness4.965291886
Sum761995
Variance541.7373868
MonotonicityNot monotonic
2021-11-29T11:32:07.249036image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39697
 
3.5%
38667
 
3.3%
36664
 
3.3%
40651
 
3.3%
41639
 
3.2%
43610
 
3.0%
42596
 
3.0%
37591
 
3.0%
21564
 
2.8%
44563
 
2.8%
Other values (220)13758
68.8%
ValueCountFrequency (%)
8204
1.0%
9114
 
0.6%
10126
 
0.6%
11120
 
0.6%
12164
0.8%
13205
1.0%
14218
1.1%
15305
1.5%
16327
1.6%
17373
1.9%
ValueCountFrequency (%)
3365
< 0.1%
3352
 
< 0.1%
3341
 
< 0.1%
3331
 
< 0.1%
3271
 
< 0.1%
3261
 
< 0.1%
3201
 
< 0.1%
3181
 
< 0.1%
3122
 
< 0.1%
3102
 
< 0.1%

Hours-median
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct230
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38.09975
Minimum8
Maximum336
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size156.4 KiB
2021-11-29T11:32:07.353086image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile14
Q123
median38
Q347
95-th percentile58
Maximum336
Range328
Interquartile range (IQR)24

Descriptive statistics

Standard deviation23.27525267
Coefficient of variation (CV)0.6109030287
Kurtosis44.03440685
Mean38.09975
Median Absolute Deviation (MAD)12
Skewness4.965291886
Sum761995
Variance541.7373868
MonotonicityNot monotonic
2021-11-29T11:32:07.451724image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
39697
 
3.5%
38667
 
3.3%
36664
 
3.3%
40651
 
3.3%
41639
 
3.2%
43610
 
3.0%
42596
 
3.0%
37591
 
3.0%
21564
 
2.8%
44563
 
2.8%
Other values (220)13758
68.8%
ValueCountFrequency (%)
8204
1.0%
9114
 
0.6%
10126
 
0.6%
11120
 
0.6%
12164
0.8%
13205
1.0%
14218
1.1%
15305
1.5%
16327
1.6%
17373
1.9%
ValueCountFrequency (%)
3365
< 0.1%
3352
 
< 0.1%
3341
 
< 0.1%
3331
 
< 0.1%
3271
 
< 0.1%
3261
 
< 0.1%
3201
 
< 0.1%
3181
 
< 0.1%
3122
 
< 0.1%
3102
 
< 0.1%

Interactions

Correlations

2021-11-29T11:32:07.658268image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-11-29T11:32:09.615600image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-11-29T11:32:11.497044image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-11-29T11:32:13.267916image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2021-11-29T11:31:44.339054image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2021-11-29T11:31:46.699611image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2021-11-29T11:31:49.252758image/svg+xmlMatplotlib v3.4.3, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

PatientIDHR-meanHR-medianO2Sat-meanO2Sat-medianTemp-meanTemp-medianSBP-meanSBP-medianMAP-meanMAP-medianDBP-meanDBP-medianResp-meanResp-medianEtCO2-meanEtCO2-medianBaseExcess-meanBaseExcess-medianHCO3-meanHCO3-medianFiO2-meanFiO2-medianpH-meanpH-medianPaCO2-meanPaCO2-medianSaO2-meanSaO2-medianAST-meanAST-medianBUN-meanBUN-medianAlkalinephos-meanAlkalinephos-medianCalcium-meanCalcium-medianChloride-meanChloride-medianCreatinine-meanCreatinine-medianBilirubin_direct-meanBilirubin_direct-medianGlucose-meanGlucose-medianLactate-meanLactate-medianMagnesium-meanMagnesium-medianPhosphate-meanPhosphate-medianPotassium-meanPotassium-medianBilirubin_total-meanBilirubin_total-medianTroponinI-meanTroponinI-medianHct-meanHct-medianHgb-meanHgb-medianPTT-meanPTT-medianWBC-meanWBC-medianFibrinogen-meanFibrinogen-medianPlatelets-meanPlatelets-medianAge-meanAge-medianGender-meanGender-medianUnit1-meanUnit1-medianUnit2-meanUnit2-medianHospAdmTime-meanHospAdmTime-medianICULOS-meanICULOS-medianSepsisLabel-meanSepsisLabel-medianSepsis-meanSepsis-medianHours-meanHours-median
010000198.61363698.0095.34090995.036.76000036.800112.772727112.083.11363684.064.27272763.0019.47727320.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN30.00000030.0NaNNaN7.8000007.80NaNNaN1.5000001.500NaNNaN149.000000123.0NaNNaN2.0500002.05NaNNaN3.9500003.95NaNNaNNaNNaN35.3035.3011.3011.3NaNNaN10.80000010.80NaNNaN170.000000170.073.073.01.01.01.01.00.00.0-214.64-214.6412.512.50.00.00.00.024.024.0
110000264.28260964.0097.86956598.037.33043537.500126.978261129.080.26087083.059.50000062.0021.82608722.0037.16666737.5NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN17.00000017.0NaNNaN8.2000008.20NaNNaN0.8400000.840NaNNaN130.916667113.5NaNNaN2.2500002.252.7002.704.5666674.70NaNNaN3.7000003.70031.4031.4011.1011.1NaNNaN13.20000013.20NaNNaN85.00000085.083.083.01.01.00.00.01.01.0-123.17-123.1713.013.00.00.00.00.025.025.0
2100003114.833333114.0094.12500094.037.07500036.950130.742857131.094.75000094.082.54285782.0025.09375025.50NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN5597.05597.030.33333336.0337.0337.08.1333338.30NaNNaN1.6633331.8903.353.35125.375000123.5NaNNaN2.1666672.304.3004.304.8000004.704.254.250.5566670.60033.3533.3511.1011.1NaNNaN14.05000014.05NaNNaN297.500000297.548.048.01.01.0NaNNaNNaNNaN-2.83-2.8322.022.00.00.00.00.043.043.0
310000491.42982585.0099.892857100.037.60000037.700134.309091132.085.27272784.069.14545565.0011.96000012.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN67.067.01.01.01.01.00.00.0-1.93-1.9330.030.00.00.00.00.059.059.0
410000573.81818269.0096.56818297.536.67368436.300135.383721137.075.15853775.057.16279155.0025.26190524.00NaNNaNNaNNaNNaNNaN0.40.47.5357.53523.923.994.0594.0540.040.054.80000055.0231.0231.06.5571438.70NaNNaN1.2000001.180NaNNaN142.454545145.02.7752.7751.9500001.954.5004.505.1428575.200.600.600.0325000.03524.5825.308.168.530.56666732.314.56666715.80NaNNaN375.666667365.050.050.01.01.01.01.00.00.0-3.27-3.2726.526.50.00.00.00.052.052.0
510000671.11111171.0094.83333395.036.53125036.525143.277778145.094.60000097.072.48148174.0017.01851917.00NaNNaNNaNNaN23.823.8NaNNaNNaNNaN39.539.598.6598.6538.038.015.66666717.051.051.08.5000008.60NaNNaN0.7400000.710NaNNaN231.375000222.5NaNNaN2.0500002.055.1005.104.3600004.401.101.10NaNNaN46.9047.0015.7815.924.20000024.28.0666677.70NaNNaN152.333333148.050.050.01.01.0NaNNaNNaNNaN0.000.0029.029.00.00.00.00.047.047.0
610000789.30555689.0097.50000097.037.15555637.200145.847222145.094.44444492.573.50000071.5017.88235318.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN34.034.015.50000015.5112.0112.08.4500008.45NaNNaN0.4050000.4050.100.10131.333333128.0NaNNaN1.7000001.704.0004.003.9000003.900.500.50NaNNaN25.9826.408.148.226.60000026.67.0000007.00NaNNaN403.000000403.042.042.01.01.0NaNNaNNaNNaN-1145.97-1145.9719.019.00.00.00.00.037.037.0
710000880.94565279.7595.42222297.036.70375036.650148.706522148.083.06521781.060.22826158.0019.16666718.0034.00000034.0NaNNaNNaNNaN0.40.47.3567.40038.233.0NaNNaNNaNNaN43.00000042.5NaNNaN5.2036367.90104.2104.02.9183333.020NaNNaN134.695652123.01.7361.8302.4400002.404.2754.155.4727275.40NaNNaNNaNNaN24.3022.208.007.2NaNNaN10.70000011.60NaNNaN112.333333110.065.065.01.01.00.00.01.01.0-211.64-211.6425.525.50.00.00.00.050.050.0
810000969.38461567.0097.86538598.036.43333336.450138.031250140.082.31250083.565.58333364.2517.12500017.75NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN12.00000012.0NaNNaN9.3000009.30NaNNaN0.7100000.710NaNNaN103.000000103.0NaNNaN1.9000001.90NaNNaN3.9000003.90NaNNaNNaNNaN36.2036.2011.8011.8NaNNaN5.7000005.70NaNNaN201.000000201.082.082.00.00.0NaNNaNNaNNaN-128.39-128.3915.515.50.00.00.00.030.030.0
910001092.13333391.0098.46666799.036.93333336.800147.066667148.098.86666798.083.60000084.0016.06666716.00NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN34.00000034.0NaNNaN9.0000009.00NaNNaN1.7700001.770NaNNaN212.388889186.0NaNNaN2.2000002.204.1004.104.1000004.10NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN32.032.00.00.01.01.00.00.0-8.13-8.138.58.50.00.00.00.016.016.0

Last rows

PatientIDHR-meanHR-medianO2Sat-meanO2Sat-medianTemp-meanTemp-medianSBP-meanSBP-medianMAP-meanMAP-medianDBP-meanDBP-medianResp-meanResp-medianEtCO2-meanEtCO2-medianBaseExcess-meanBaseExcess-medianHCO3-meanHCO3-medianFiO2-meanFiO2-medianpH-meanpH-medianPaCO2-meanPaCO2-medianSaO2-meanSaO2-medianAST-meanAST-medianBUN-meanBUN-medianAlkalinephos-meanAlkalinephos-medianCalcium-meanCalcium-medianChloride-meanChloride-medianCreatinine-meanCreatinine-medianBilirubin_direct-meanBilirubin_direct-medianGlucose-meanGlucose-medianLactate-meanLactate-medianMagnesium-meanMagnesium-medianPhosphate-meanPhosphate-medianPotassium-meanPotassium-medianBilirubin_total-meanBilirubin_total-medianTroponinI-meanTroponinI-medianHct-meanHct-medianHgb-meanHgb-medianPTT-meanPTT-medianWBC-meanWBC-medianFibrinogen-meanFibrinogen-medianPlatelets-meanPlatelets-medianAge-meanAge-medianGender-meanGender-medianUnit1-meanUnit1-medianUnit2-meanUnit2-medianHospAdmTime-meanHospAdmTime-medianICULOS-meanICULOS-medianSepsisLabel-meanSepsisLabel-medianSepsis-meanSepsis-medianHours-meanHours-median
1999011999176.08695776.097.06818297.036.85652237.00134.869565130.0084.43478382.053.08695752.017.86842116.035.33333335.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN14.014.0NaNNaN7.507.50NaNNaN0.7900000.790NaNNaN117.636364110.00NaNNaN1.6000001.60NaNNaN4.100004.10NaNNaNNaNNaN26.30000026.308.4000008.40NaNNaN6.4000006.4NaNNaN96.00000096.081.081.00.00.00.00.01.01.0-66.13-66.1313.013.00.00.00.00.025.025.0
1999111999292.11250091.095.22500096.036.80000036.80148.875000144.50102.037500100.075.05000073.020.89743620.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN37.037.0NaNNaN9.209.20NaNNaN9.9300009.930NaNNaN110.333333103.00NaNNaN1.8000001.806.66.64.500004.50NaNNaN0.410.4130.20000030.209.5000009.50NaNNaN2.8000002.8NaNNaN198.000000198.045.045.01.01.01.01.00.00.0-4.55-4.5521.021.00.00.00.00.041.041.0
1999211999382.35714381.094.85714395.036.53333336.50131.583333130.0094.33333397.075.50000077.518.75000019.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN15.015.0NaNNaN8.308.30NaNNaN1.0100001.010NaNNaN132.000000132.00NaNNaN2.0000002.002.62.64.100004.10NaNNaN0.010.0142.00000042.0014.90000014.90NaNNaN12.30000012.3NaNNaN175.000000175.065.065.01.01.0NaNNaNNaNNaN-3.53-3.5311.011.00.00.00.00.021.021.0
1999311999474.10975674.096.96341596.037.40243937.50123.634146122.0077.14634176.057.67073256.018.20000018.029.44444428.0NaNNaNNaNNaN0.420.47.3133337.29534.534.598.16666798.55NaNNaN15.016.0NaNNaN3.731.26NaNNaN1.0733331.060NaNNaN129.791667135.505.7783336.662.0333332.003.63.64.156254.05NaNNaNNaNNaN30.30000030.3010.25000010.25NaNNaN9.3000009.3NaNNaN66.50000066.571.071.01.01.00.00.01.01.0-29.57-29.5721.521.50.00.00.00.042.042.0
1999411999562.26829362.094.92682995.036.02000036.05147.804878147.00106.048780107.078.07317179.019.23170720.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN9.09.0NaNNaN8.808.80NaNNaN0.8100000.810NaNNaN106.571429116.00NaNNaN2.0000002.003.03.03.500003.50NaNNaNNaNNaN39.20000039.2013.10000013.10NaNNaN7.0000007.0289.0289.0154.000000154.076.076.01.01.00.00.01.01.0-14.90-14.9021.521.50.00.00.00.042.042.0
1999511999689.45652285.598.08695798.036.40000036.50131.366667130.0084.60227385.071.92222272.019.17647119.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN849.0849.06.06.0259.0259.08.758.75NaNNaN0.4950000.495NaNNaN147.500000147.50NaNNaN1.9500001.95NaNNaN3.650003.653.33.30.010.0142.70000042.7013.80000013.80NaNNaN12.60000012.6NaNNaN238.000000238.084.084.00.00.0NaNNaNNaNNaN-6.69-6.6924.524.50.00.00.00.048.048.0
1999611999761.06250061.596.83333397.036.80000036.80119.562500117.5090.93750086.070.25000069.020.38461522.045.00000045.0NaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaNNaN24.024.05.55.5116.0116.013.8013.80NaNNaN0.7700000.7700.10.1103.750000103.75NaNNaN3.1500003.153.13.13.350003.350.70.71.091.0946.70000046.7015.55000015.5538.238.210.40000010.4NaNNaN189.000000189.030.030.01.01.0NaNNaNNaNNaN-0.02-0.0213.013.00.00.00.00.025.025.0
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